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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. 1588
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    Explanations

    information related to numbers and quantities

    oai_token-act-pair · gpt-3.5-turbo

    the presence of numeric values and associated contextual words in the text

    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
    roth
    -0.68
     Aging
    -0.65
     Examiner
    -0.65
     Worker
    -0.63
     Hazard
    -0.61
    =]
    -0.60
    esi
    -0.60
    guard
    -0.60
     Cros
    -0.59
    effects
    -0.59
    POSITIVE LOGITS
     apiece
    1.18
     totaling
    1.11
     respectively
    0.85
     consecut
    0.85
     including
    0.79
     viz
    0.77
     assorted
    0.77
     Including
    0.74
     converge
    0.71
     collectively
    0.71
    Activations Density 1.024%

    No Known Activations