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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. 9-RES-JB
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    Explanations

    the word 'Liverpool'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the soccer club Liverpool

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opian
    -0.71
     Patton
    -0.70
    anamo
    -0.68
    haar
    -0.66
    SPONSORED
    -0.66
    088
    -0.64
    outer
    -0.64
    enegger
    -0.64
    ":-
    -0.63
    tml
    -0.63
    POSITIVE LOGITS
     FC
    0.97
    seys
    0.90
     Hots
    0.87
    boa
    0.83
     Echo
    0.79
    iverpool
    0.78
     Gerrard
    0.75
     Lime
    0.71
     Anfield
    0.71
    inho
    0.70
    Activations Density 0.038%

    No Known Activations