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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. 4-RES-JB
    11. 20703
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    INDEX
    Explanations

    percentages or proportions

    oai_token-act-pair · gpt-3.5-turbo

    data related to percentages

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

    No Comments

    Negative Logits
    ollah
    -0.79
    pload
    -0.76
    ãĥ¤
    -0.75
    worldly
    -0.74
    iden
    -0.65
    eworld
    -0.63
    kefeller
    -0.63
    Redd
    -0.63
     rom
    -0.62
     Rav
    -0.62
    POSITIVE LOGITS
    rations
    0.81
    rf
    0.75
    rate
    0.75
    percent
    0.74
     percent
    0.72
    +)
    0.72
    eele
    0.71
    +.
    0.70
    payer
    0.69
    rated
    0.68
    Activations Density 0.044%

    No Known Activations