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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. 3-RES-JB
    11. 9754
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    INDEX
    Explanations

    words related to quantifiable levels or limits

    oai_token-act-pair · gpt-3.5-turbo

    references to various thresholds in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulf
    -0.78
    ocate
    -0.76
    oir
    -0.73
    orld
    -0.71
    ī
    -0.68
    ña
    -0.67
    ocation
    -0.67
    ocal
    -0.65
    ONG
    -0.64
    unct
    -0.63
    POSITIVE LOGITS
     thresholds
    1.22
     threshold
    1.14
    witz
    0.80
     cutoff
    0.80
    limits
    0.77
     limits
    0.77
    posts
    0.71
     crossings
    0.70
    locked
    0.69
    ansas
    0.69
    Activations Density 0.009%

    No Known Activations