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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. 1-RES-JB
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    Explanations

    mentions of the word "Chelsea"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Chelsea football club

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olulu
    -0.80
    haar
    -0.76
    ommel
    -0.74
    aunder
    -0.67
    lopp
    -0.65
    rint
    -0.65
    ensing
    -0.65
    undai
    -0.64
    tml
    -0.63
    semble
    -0.63
    POSITIVE LOGITS
     Handler
    1.00
    Chelsea
    0.82
     Chelsea
    0.81
    Leaks
    0.80
     Manning
    0.73
     flats
    0.73
    theless
    0.66
     Dock
    0.66
     FC
    0.66
    ite
    0.66
    Activations Density 0.006%

    No Known Activations