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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. 15496
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    INDEX
    Explanations

    the phrase "in the end"

    oai_token-act-pair · gpt-3.5-turbo

    references to conclusions or final thoughts

    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
    illin
    -0.68
    RN
    -0.67
    htaking
    -0.67
     Flavoring
    -0.64
    Dat
    -0.63
    available
    -0.63
    XY
    -0.62
    RNA
    -0.61
     Milk
    -0.60
     Fired
    -0.59
    POSITIVE LOGITS
    owment
    1.00
    game
    0.82
    angering
    0.80
    ocrine
    0.77
     thereof
    0.76
    notes
    0.71
    ocrin
    0.70
    âĶĢâĶĢ
    0.68
    ersen
    0.68
    tackle
    0.67
    Activations Density 0.022%

    No Known Activations