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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. 7-RES-JB
    11. 9520
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    Explanations

    short phrases or sentences with quotations

    oai_token-act-pair · gpt-3.5-turbo

    punctuated statements or quotes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.81
    ¬¼
    -0.75
    rats
    -0.71
     clothed
    -0.70
     uncond
    -0.68
    atana
    -0.64
    ardless
    -0.63
     starved
    -0.63
     throne
    -0.63
    ļéĨĴ
    -0.63
    POSITIVE LOGITS
     recalls
    1.14
     writes
    1.14
     reads
    1.11
     wrote
    1.09
     explains
    1.08
     says
    1.03
     recalled
    1.01
     explained
    1.00
    said
    0.99
     said
    0.96
    Activations Density 0.093%

    No Known Activations