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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. 20998
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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
    zzle
    -0.69
    astery
    -0.68
    agascar
    -0.66
     predec
    -0.65
     initiation
    -0.65
    anking
    -0.60
    Ms
    -0.60
    pees
    -0.59
    anked
    -0.59
     invocation
    -0.58
    POSITIVE LOGITS
     Frie
    0.75
    channelAvailability
    0.72
     Pwr
    0.71
    qv
    0.68
     Watkins
    0.68
    rpm
    0.68
    bum
    0.66
    esting
    0.64
     Ludwig
    0.64
     Mash
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.