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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. 6174
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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
    onsense
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    ictionary
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    abetic
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    enser
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    ittees
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    heim
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    limits
    -0.71
    ove
    -0.70
    orest
    -0.70
    ittee
    -0.69
    POSITIVE LOGITS
    NOW
    0.70
    Hour
    0.65
    rily
    0.65
    alon
    0.59
    )=(
    0.59
     Bapt
    0.59
     Temp
    0.59
    chie
    0.58
     Merc
    0.58
     Hour
    0.58
    Activations Density 0.000%

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