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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. 19818
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    Explanations

    mentions of the Google Play store

    oai_token-act-pair · gpt-3.5-turbo

    references to the Google Play platform

    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
     conce
    -0.70
    ixed
    -0.70
     detachment
    -0.69
     tongues
    -0.68
    EStreamFrame
    -0.67
    aunder
    -0.67
    haust
    -0.66
    ewitness
    -0.66
     Beir
    -0.66
    orthodox
    -0.65
    POSITIVE LOGITS
    ground
    1.04
    tex
    0.95
    wright
    0.94
    ername
    0.93
    grounds
    0.93
    GROUND
    0.92
    Ready
    0.92
    lists
    0.87
    gon
    0.85
    amac
    0.84
    Activations Density 0.021%

    No Known Activations