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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. 7400
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    INDEX
    Explanations

    the concept of a 'two' in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or numerical values

    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
    icipated
    -0.66
    lance
    -0.65
    OTOS
    -0.63
    ushima
    -0.62
    raints
    -0.61
     Caption
    -0.60
     relevance
    -0.60
     Worldwide
    -0.60
    ifacts
    -0.59
    yles
    -0.59
    POSITIVE LOGITS
    fold
    0.89
    quel
    0.86
    peat
    0.79
    teenth
    0.76
     dimensional
    0.73
    acious
    0.70
    legged
    0.69
    aciously
    0.68
    dimensional
    0.65
    plus
    0.64
    Activations Density 0.102%

    No Known Activations