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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. 1-RES-JB
    11. 5488
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers and counts in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uyomi
    -0.76
    pled
    -0.76
    cair
    -0.75
    igators
    -0.69
    inated
    -0.69
    alties
    -0.69
    ributed
    -0.67
    igating
    -0.67
    ination
    -0.67
    ition
    -0.66
    POSITIVE LOGITS
    09
    1.10
    059
    1.07
    089
    1.01
    07
    1.01
    08
    0.97
    05
    0.96
    04
    0.95
    06
    0.93
    090
    0.93
    088
    0.91
    Activations Density 0.038%

    No Known Activations