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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. 3-RES-JB
    11. 338
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    Explanations

    mentions of a specific geographical location named Burnham

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Burn" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilial
    -0.87
    DonaldTrump
    -0.80
    ateful
    -0.72
    ournal
    -0.71
    merce
    -0.71
     oblig
    -0.70
    mercial
    -0.69
    ittance
    -0.68
    oral
    -0.67
    ItemTracker
    -0.66
    POSITIVE LOGITS
    burn
    1.15
    Burn
    1.14
     Burn
    1.07
    burning
    0.96
    aby
    0.93
    ished
    0.92
    er
    0.92
     burn
    0.91
    ston
    0.90
    ards
    0.88
    Activations Density 0.010%

    No Known Activations