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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. 23965
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    Explanations

    mentions of specific names related to sports and politics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly names related to sports or management

    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
    ysis
    -0.73
     misinformation
    -0.69
    uate
    -0.69
     replay
    -0.68
     centrif
    -0.66
     Catalyst
    -0.65
     Heads
    -0.65
    Interstitial
    -0.64
     silence
    -0.62
     Transmission
    -0.62
    POSITIVE LOGITS
    hett
    1.10
    rolet
    1.06
     Poc
    1.04
    atell
    1.01
     Hots
    1.00
    het
    0.96
    otte
    0.95
    oco
    0.92
    ridge
    0.90
    arte
    0.88
    Activations Density 0.007%

    No Known Activations