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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. 5686
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    Explanations

    mention of proteins

    oai_token-act-pair · gpt-3.5-turbo

    references to protein

    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
    ragon
    -0.79
    orld
    -0.79
    rek
    -0.70
    76561
    -0.70
    ewitness
    -0.70
    rolet
    -0.69
    quished
    -0.67
    sbm
    -0.67
     Moff
    -0.66
    cffffcc
    -0.64
    POSITIVE LOGITS
    aceous
    1.31
     isolate
    0.98
    protein
    0.92
     synthesis
    0.90
    uria
    0.89
    zyme
    0.86
     phosph
    0.86
     powd
    0.86
     concentrate
    0.83
     Expression
    0.81
    Activations Density 0.030%

    No Known Activations