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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. 135
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    INDEX
    Explanations

    statistical information or data cited from various sources

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "according" to refer to sources or data

    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
     exting
    -1.09
     eleph
    -1.05
    Þ
    -0.89
     occas
    -0.88
    ò
    -0.86
    ß
    -0.85
     neighb
    -0.85
     helicop
    -0.83
     conclud
    -0.80
     pione
    -0.79
    POSITIVE LOGITS
     to
    0.92
    %]
    0.69
    To
    0.69
    urable
    0.68
    manac
    0.67
    Avg
    0.67
    data
    0.66
     Census
    0.65
    to
    0.64
     TO
    0.64
    Activations Density 0.043%

    No Known Activations