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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. 6-RES-JB
    11. 24465
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    Explanations

    mentions of the Chelsea football club

    oai_token-act-pair · gpt-3.5-turbo

    references to Chelsea FC

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    haar
    -0.89
    laus
    -0.75
    oppable
    -0.74
    VIDIA
    -0.73
    paio
    -0.73
    tml
    -0.72
    rily
    -0.71
    ensing
    -0.71
    EStream
    -0.70
    utm
    -0.69
    POSITIVE LOGITS
     Handler
    1.02
     Manning
    0.82
     Harbour
    0.78
     FC
    0.77
     Pere
    0.71
     ABE
    0.68
     flats
    0.67
     Manor
    0.67
     Clinton
    0.67
     Deposit
    0.64
    Activations Density 0.013%

    No Known Activations