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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    names of political figures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific political figures, particularly Kevin Rudd

    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
    plates
    -0.78
    ________________________
    -0.74
    gran
    -0.70
     Renaissance
    -0.69
    ________________________________
    -0.68
     corpus
    -0.68
     fortun
    -0.66
     Kinnikuman
    -0.65
    ccording
    -0.63
    ×ij
    -0.62
    POSITIVE LOGITS
     Rudd
    1.11
    ock
    0.94
    igan
    0.87
    uling
    0.87
    erer
    0.86
    interstitial
    0.83
    enthal
    0.83
    ieri
    0.82
    cliffe
    0.82
    aby
    0.81
    Activations Density 0.007%

    No Known Activations