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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. 10-RES-JB
    11. 22162
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    Explanations

    financial figures and statistical information

    oai_token-act-pair · gpt-3.5-turbo

    references to averages and totals in statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lees
    -0.76
    apses
    -0.74
    docs
    -0.74
    artifacts
    -0.73
    ulas
    -0.73
    zos
    -0.73
     buttons
    -0.73
    inges
    -0.69
    amines
    -0.69
    forums
    -0.68
    POSITIVE LOGITS
     amount
    0.90
     estimate
    0.88
     lifespan
    0.88
     whopping
    0.84
     nine
    0.82
     eight
    0.82
     180
    0.82
     seven
    0.81
     670
    0.80
     figure
    0.80
    Activations Density 0.110%

    No Known Activations