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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. 124
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    Explanations

    verbs related to attracting attention or interest

    oai_token-act-pair · gpt-3.5-turbo

    words related to the act of drawing or attracting attention

    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
    nown
    -0.86
     bom
    -0.72
    icum
    -0.65
    illon
    -0.63
    omon
    -0.62
    etheless
    -0.62
    ican
    -0.62
    bda
    -0.61
    icans
    -0.61
    xon
    -0.60
    POSITIVE LOGITS
    strings
    0.86
    brid
    0.82
     drawn
    0.81
     inspiration
    0.80
    dinand
    0.78
     parallels
    0.76
     drawing
    0.76
     draw
    0.75
     commissions
    0.75
    backs
    0.75
    Activations Density 0.014%

    No Known Activations