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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. 4-RES-JB
    11. 2933
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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
    balls
    -0.72
    mania
    -0.67
    leton
    -0.66
    timer
    -0.66
    è¦ļéĨĴ
    -0.65
    misc
    -0.64
    ignore
    -0.63
    udi
    -0.63
    slow
    -0.63
    lex
    -0.63
    POSITIVE LOGITS
     assurances
    0.78
     clearance
    0.73
     passage
    0.69
    illance
    0.69
    indal
    0.68
    RET
    0.68
    ANCE
    0.67
     secure
    0.67
     financing
    0.66
    ĵĺ
    0.66
    Activations Density 0.015%

    No Known Activations