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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. 3-RES-JB
    11. 9145
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    Explanations

    references to specific numbers, possibly related to statistics or amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical percentages or numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urus
    -0.76
     Collider
    -0.75
     exha
    -0.68
     parity
    -0.67
    senal
    -0.66
    ¥ŀ
    -0.64
    unity
    -0.64
     coordin
    -0.64
     advers
    -0.63
     tension
    -0.62
    POSITIVE LOGITS
    00
    0.99
    rpm
    0.93
    MJ
    0.92
    knife
    0.80
     msec
    0.79
    amber
    0.78
    345
    0.78
    oslov
    0.78
    dfx
    0.77
    Chan
    0.75
    Activations Density 0.028%

    No Known Activations