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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. 4-RES-JB
    11. 4466
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    Explanations

    phrases related to getting a hint or preview of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating insight, preview, or understanding of concepts

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

    No Comments

    Negative Logits
    die
    -1.02
     hated
    -0.79
    oved
    -0.74
    dies
    -0.69
     disliked
    -0.68
    licts
    -0.67
    atography
    -0.63
    oves
    -0.63
    itches
    -0.61
    hate
    -0.61
    POSITIVE LOGITS
     hint
    1.08
     approximation
    1.05
     glimpse
    1.04
     indication
    1.02
     impression
    0.94
     outline
    0.93
     hints
    0.92
     impressions
    0.90
     indications
    0.87
     clue
    0.87
    Activations Density 0.349%

    No Known Activations