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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. 2644
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    Explanations

    mentions of academic positions and affiliations

    oai_token-act-pair · gpt-3.5-turbo

    sentences that contain university names and their associated institutions or roles

    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
     endeav
    -0.69
     vag
    -0.69
     fleeting
    -0.68
     sleeper
    -0.68
     nude
    -0.68
     utter
    -0.66
     camoufl
    -0.66
     naughty
    -0.66
     slightest
    -0.66
     intakes
    -0.64
    POSITIVE LOGITS
     Speaking
    0.92
     Adding
    0.90
     Previously
    0.88
     That
    0.87
     Ironically
    0.86
     Typically
    0.86
     Having
    0.86
     Even
    0.84
     Normally
    0.84
     Likewise
    0.84
    Activations Density 0.269%

    No Known Activations