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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
    11. 17494
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    Explanations

    references to fans or fandom in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with fandom and fan culture

    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
    apeake
    -0.69
     Alz
    -0.69
    terday
    -0.63
     unfocusedRange
    -0.63
    innon
    -0.63
     Annotations
    -0.62
     Lans
    -0.62
     Johnston
    -0.62
     Barcl
    -0.60
     muddy
    -0.60
    POSITIVE LOGITS
    atical
    1.57
    atics
    1.46
    boys
    1.32
    fare
    1.26
    atically
    1.26
    atic
    1.21
    fiction
    1.19
    boy
    1.16
    club
    1.11
    ci
    1.06
    Activations Density 0.047%

    No Known Activations