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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. 89
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    Explanations

    verbs related to expressing opinions or points of view

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing assertion or claims

    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
    ItemTracker
    -0.81
     teasp
    -0.65
     subur
    -0.65
     srf
    -0.63
     Viz
    -0.62
     Unloaded
    -0.62
     Sabha
    -0.61
     Going
    -0.60
     Beats
    -0.59
     turf
    -0.58
    POSITIVE LOGITS
    enance
    1.03
    uate
    1.01
    ISE
    0.74
    ulate
    0.73
     aloud
    0.71
    lessly
    0.68
     RELEASE
    0.67
     oneself
    0.65
    leep
    0.65
    dress
    0.65
    Activations Density 0.316%

    No Known Activations