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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. 9-RES-JB
    11. 16545
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    Explanations

    compounds and substances, particularly those related to chemistry and industrial processes

    oai_token-act-pair · gpt-3.5-turbo

    chemical compounds and their properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cipled
    -0.72
    stown
    -0.70
    itech
    -0.69
     ACTIONS
    -0.68
    urnal
    -0.68
    izophren
    -0.65
    FUL
    -0.64
    SEA
    -0.63
    cknowled
    -0.62
     Equity
    -0.62
    POSITIVE LOGITS
    oxide
    0.96
    ioxide
    0.92
     contamin
    0.84
    stals
    0.82
     crystals
    0.79
     oxid
    0.76
     strips
    0.73
     emb
    0.71
     synth
    0.70
     electroly
    0.69
    Activations Density 0.447%

    No Known Activations