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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. 1439
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    Explanations

    adjectives and nouns related to indirect impacts or effects

    oai_token-act-pair · gpt-3.5-turbo

    references to indirect effects or impacts

    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
    erk
    -0.81
    imen
    -0.80
    CENT
    -0.76
    avers
    -0.75
    ciating
    -0.73
     Rampage
    -0.73
    士
    -0.70
    ESE
    -0.68
    aver
    -0.67
    ingers
    -0.66
    POSITIVE LOGITS
     indirect
    0.86
     indirectly
    0.86
     subsid
    0.74
    ally
    0.74
     prox
    0.72
    repre
    0.72
    alf
    0.71
     sensing
    0.70
     imped
    0.70
     cul
    0.69
    Activations Density 0.011%

    No Known Activations