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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. 7-RES-JB
    11. 9701
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    Explanations

    phrases referring to a specific, singular entity or person

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inders
    -0.73
    ICO
    -0.72
    mson
    -0.72
    pace
    -0.70
    escription
    -0.69
    avascript
    -0.68
    ooks
    -0.67
    allas
    -0.65
    ategory
    -0.65
    hips
    -0.65
    POSITIVE LOGITS
     thing
    0.92
     Hundred
    0.89
     hundred
    0.87
     exception
    0.80
     sided
    0.75
     person
    0.74
     guy
    0.73
     antidote
    0.70
     thousand
    0.70
     drawback
    0.70
    Activations Density 0.036%

    No Known Activations