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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. 0-RES-JB
    11. 22480
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    mercial
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    netflix
    -0.69
    ahon
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    emale
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    uese
    -0.67
    iquette
    -0.66
    isites
    -0.64
    oided
    -0.64
    bleacher
    -0.63
    dinand
    -0.63
    POSITIVE LOGITS
    aukee
    0.70
    >:
    0.67
    âĢ¦
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     Newsp
    0.65
    :
    0.63
    ?:
    0.62
    Scot
    0.62
     –
    0.61
     Psal
    0.61
    places
    0.60
    Activations Density 0.000%

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