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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. 8-RES-JB
    11. 8515
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    Explanations

    numbers and percentages

    oai_token-act-pair · gpt-3.5-turbo

    significant metrics and statistics related to performance or effectiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.62
    Ô
    -0.56
    ãĤ¼ãĤ¦ãĤ¹
    -0.55
    ij士
    -0.54
    ŃĶ
    -0.52
    ccording
    -0.52
    ¹
    -0.51
    .""
    -0.51
    Ń·
    -0.49
    zl
    -0.49
    POSITIVE LOGITS
    ↵
    1.71
    <|endoftext|>
    1.21
    ↵↵
    1.10
    SPONSORED
    1.03
    [/
    0.70
     TBA
    0.68
    ;}
    0.63
    ↵Âł
    0.61
     Unsure
    0.60
    ifference
    0.57
    Activations Density 0.307%

    No Known Activations