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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1064
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    Explanations

    phrases related to legal terms and discussions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a continuation or elaboration of a thought

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    robe
    -0.73
    cell
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    ety
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    ãĥ¥
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    ahu
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    uci
    -0.60
    UF
    -0.59
    boro
    -0.58
    rack
    -0.58
    apsed
    -0.57
    POSITIVE LOGITS
     namely
    1.33
     albeit
    1.26
     however
    1.07
     though
    1.02
     although
    1.01
     insofar
    1.01
     according
    0.96
     whereby
    0.95
     huh
    0.93
     including
    0.92
    Activations Density 0.689%

    No Known Activations