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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. 11-RES-JB
    11. 20431
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    Explanations

    timestamps in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    date and time formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ñ
    -0.93
    ò
    -0.93
    ortunately
    -0.90
    isSpecial
    -0.89
    Ý
    -0.86
    oreAnd
    -0.80
    ThumbnailImage
    -0.80
     practition
    -0.78
    ô
    -0.77
     pione
    -0.76
    POSITIVE LOGITS
    59
    1.41
    53
    1.40
    03
    1.39
    58
    1.38
    57
    1.38
    54
    1.38
    52
    1.37
    56
    1.37
    51
    1.36
    55
    1.36
    Activations Density 0.033%

    No Known Activations