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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 7439
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    INDEX
    Explanations

    phrases referring to specific periods or situations in time

    oai_token-act-pair · gpt-3.5-turbo

    references to "times" indicating various contexts or situations

    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
    ramid
    -0.71
     Flavoring
    -0.71
    Ô
    -0.70
    RD
    -0.68
    estead
    -0.66
    VE
    -0.64
    aceous
    -0.64
    Reviewer
    -0.63
    andan
    -0.63
    atto
    -0.62
    POSITIVE LOGITS
    cale
    1.64
    cape
    1.15
    hare
    1.11
    pring
    1.09
    hower
    1.06
    eries
    1.05
    pan
    1.03
    mith
    0.94
    heet
    0.91
    creen
    0.89
    Activations Density 0.032%

    No Known Activations