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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. 4-RES-JB
    11. 10553
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    abase
    -0.80
    heastern
    -0.79
    heast
    -0.77
    clair
    -0.72
     Puppet
    -0.71
    iera
    -0.70
    umpy
    -0.69
     Arbor
    -0.68
    cyclopedia
    -0.67
    oppy
    -0.67
    POSITIVE LOGITS
    =-=-=-=-
    0.79
     salute
    0.66
     minus
    0.65
     indebted
    0.63
     deduction
    0.63
     promise
    0.62
     Ded
    0.62
     Nad
    0.60
    BLIC
    0.59
     sweat
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.