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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. 6-RES-JB
    11. 21802
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    Explanations

    numerical values or ranges

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and ranges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     arsenal
    -0.59
     sting
    -0.59
     organ
    -0.57
    rote
    -0.56
     Feder
    -0.56
     commissioned
    -0.54
     ambassador
    -0.52
     HUM
    -0.52
     symb
    -0.52
    USS
    -0.51
    POSITIVE LOGITS
    +.
    1.18
    +,
    1.04
     increments
    0.88
    +)
    0.84
    -.
    0.82
    +
    0.78
    -$
    0.77
     digits
    0.75
     apiece
    0.73
    %.
    0.71
    Activations Density 0.607%

    No Known Activations