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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. 8-RES-JB
    6. 12149
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    Explanations

    small pieces of interesting information or details

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "tidbits" or small pieces of information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pour
    -0.75
    terday
    -0.74
    irez
    -0.70
    AIN
    -0.68
    ONT
    -0.63
    hovah
    -0.63
    sein
    -0.61
    posure
    -0.61
    HAEL
    -0.60
    enson
    -0.59
    POSITIVE LOGITS
    bits
    1.04
    ches
    0.79
    ewater
    0.77
    ================================================================
    0.76
    istically
    0.75
    ching
    0.72
    ily
    0.71
     quo
    0.70
    âĶĢ
    0.70
    ying
    0.70
    Activations Density 0.111%

    No Known Activations