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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 10885
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    Explanations

    actions related to physical manipulation and alteration

    oai_token-act-pair · gpt-3.5-turbo

    actions related to destruction, processing, or modification of materials

    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
    yip
    -0.61
    TPS
    -0.60
     Ranking
    -0.58
    profits
    -0.57
    ties
    -0.54
     Stability
    -0.54
     compulsion
    -0.54
     principled
    -0.53
    pects
    -0.53
    bia
    -0.53
    POSITIVE LOGITS
     by
    1.01
     into
    0.86
     onto
    0.84
    uled
    0.82
     anew
    0.81
     manually
    0.81
     cheaply
    0.80
     ashore
    0.79
     alive
    0.77
     awa
    0.77
    Activations Density 0.273%

    No Known Activations