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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. 3-RES-JB
    11. 5791
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    Explanations

    mentions of fans or fandom in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to fandom or being a fan of something

    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
    apeake
    -0.73
    terday
    -0.66
     muddy
    -0.66
     unfocusedRange
    -0.63
    eneg
    -0.62
    akespe
    -0.61
    lished
    -0.60
    ENCY
    -0.60
    ©¶æ¥µ
    -0.60
    Ļ½
    -0.59
    POSITIVE LOGITS
    atical
    1.41
    atics
    1.19
    atically
    1.02
    fiction
    0.99
    fare
    0.99
    club
    0.98
    atic
    0.98
    artist
    0.97
    boys
    0.96
    boy
    0.90
    Activations Density 0.016%

    No Known Activations