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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. 16300
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    INDEX
    Explanations
    No Explanations Found
    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
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    Negative Logits
    bon
    -0.70
    oenix
    -0.65
    volent
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    IENT
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    strength
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     willpower
    -0.62
     strengths
    -0.62
     Bers
    -0.61
     Iron
    -0.61
     Healing
    -0.60
    POSITIVE LOGITS
    sylvania
    0.77
    sylv
    0.72
    theless
    0.70
     Flavoring
    0.70
    ollah
    0.69
    neau
    0.67
     slide
    0.67
     flap
    0.66
    hers
    0.64
     GOODMAN
    0.64
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