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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. 7-RES-JB
    11. 23089
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    Explanations

    specific references to organizations or entities

    oai_token-act-pair · gpt-3.5-turbo

    the definite article "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     karma
    -0.76
    leeve
    -0.71
     besides
    -0.71
    emen
    -0.69
    gpu
    -0.64
     namely
    -0.62
     and
    -0.62
    igans
    -0.60
    agents
    -0.60
     because
    -0.60
    POSITIVE LOGITS
     aforementioned
    1.08
     latter
    1.06
     ensuing
    0.98
     remainder
    0.97
     entirety
    0.95
     largest
    0.94
    ses
    0.92
     resultant
    0.90
     heaviest
    0.88
     Netherlands
    0.86
    Activations Density 0.309%

    No Known Activations