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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. 16196
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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
    "]=>
    -0.81
    TAG
    -0.78
    Ping
    -0.74
    ãĥ©ãĥ³
    -0.70
    uckle
    -0.70
     IPM
    -0.69
    usterity
    -0.69
    acebook
    -0.69
    rontal
    -0.68
    ername
    -0.68
    POSITIVE LOGITS
     lumin
    0.72
    iment
    0.67
     Territories
    0.65
    onies
    0.62
    ification
    0.62
     effect
    0.62
     explor
    0.62
     Electricity
    0.61
    zik
    0.60
     hol
    0.59
    Activations Density 0.000%

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