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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. 8-RES-JB
    11. 12336
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    INDEX
    Explanations

    mentions of fans or spectators in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fans and their reactions or sentiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    innon
    -0.62
    Course
    -0.61
    tein
    -0.61
     bip
    -0.60
    NC
    -0.60
     Nem
    -0.60
    lished
    -0.59
    ateral
    -0.59
     Clinical
    -0.58
     diplom
    -0.58
    POSITIVE LOGITS
    erv
    1.11
    haw
    1.10
    hip
    1.07
    atics
    1.07
    ubs
    1.05
    boys
    1.00
    atical
    1.00
    hips
    0.96
    atically
    0.93
    fare
    0.87
    Activations Density 0.036%

    No Known Activations