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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. 9-RES-JB
    11. 2225
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    Explanations

    special characters forming specific visual patterns

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ory
    -0.79
    anium
    -0.79
    ancies
    -0.78
     timelines
    -0.76
     Seah
    -0.74
    itionally
    -0.72
    alis
    -0.71
    igers
    -0.70
    nesday
    -0.69
     Beir
    -0.69
    POSITIVE LOGITS
    cffff
    1.05
    cffffcc
    1.01
     +---
    0.87
    ··
    0.84
     grep
    0.84
     |--
    0.83
    ----------
    0.77
    NetMessage
    0.76
    λ
    0.75
    chard
    0.73
    Activations Density 0.017%

    No Known Activations