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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 1205
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    INDEX
    Explanations

    the word "Perfect" in varying contexts and phrases

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "Perfect" with varying intensities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UGH
    -0.71
    UTH
    -0.70
     veins
    -0.69
     Sawyer
    -0.66
     Cornell
    -0.65
    externalActionCode
    -0.65
     epid
    -0.63
    ITNESS
    -0.63
     SIL
    -0.63
     unpublished
    -0.62
    POSITIVE LOGITS
    ion
    1.01
    entimes
    0.87
    ity
    0.87
    erion
    0.86
    imum
    0.86
    intendent
    0.84
    ly
    0.84
    nesses
    0.82
    ation
    0.82
    perfect
    0.80
    Activations Density 0.009%

    No Known Activations