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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. 4328
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    oai_token-act-pair · gpt-3.5-turbo

    references to specific items or objects

    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
    creen
    -1.11
    pace
    -0.95
    cale
    -0.94
    cape
    -0.93
    hirt
    -0.92
    paces
    -0.89
    ettings
    -0.82
    hip
    -0.80
    etting
    -0.80
    peak
    -0.78
    POSITIVE LOGITS
    ized
    0.75
    ization
    0.74
    izations
    0.72
    ious
    0.71
    ment
    0.71
    isations
    0.71
    OV
    0.70
    iasis
    0.69
    Counter
    0.68
    INAL
    0.68
    Activations Density 0.076%

    No Known Activations