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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. 9-RES-JB
    11. 1347
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    Explanations

    numbers related to statistics and percentages

    oai_token-act-pair · gpt-3.5-turbo

    statistics and numerical values related to social media and comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ij士
    -0.56
     livest
    -0.55
    .""
    -0.52
     reconc
    -0.51
     embassies
    -0.50
     charism
    -0.50
     tremend
    -0.49
     coward
    -0.48
    zl
    -0.48
    Ń·
    -0.48
    POSITIVE LOGITS
    ↵
    1.72
    ↵↵
    1.16
    <|endoftext|>
    1.16
    SPONSORED
    1.06
    [/
    0.72
    ↵Âł
    0.70
     Advertisement
    0.62
     TBA
    0.59
    etheless
    0.58
    iasis
    0.57
    Activations Density 0.362%

    No Known Activations