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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. 6-RES-JB
    11. 13988
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    Explanations

    words related to demonstrating actions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating lack of remorse or signs of support

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     sshd
    -0.59
    quire
    -0.59
     sugg
    -0.58
    adish
    -0.57
     sur
    -0.57
    TING
    -0.57
    inion
    -0.56
     permitting
    -0.56
     undisclosed
    -0.56
     Sweeney
    -0.56
    POSITIVE LOGITS
    png
    0.78
    formance
    0.76
    redd
    0.73
    Premium
    0.73
     versatility
    0.72
    Fram
    0.71
    natureconservancy
    0.69
    @#
    0.68
    RAW
    0.68
    ouf
    0.68
    Activations Density 0.211%

    No Known Activations