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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. 1-RES-JB
    11. 5585
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    Explanations

    punctuation marks representing pauses or stops

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically commas

    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
    ADRA
    -0.72
    xxx
    -0.72
    UTC
    -0.70
    VERSION
    -0.69
    RIPT
    -0.68
    tones
    -0.63
    ching
    -0.63
    ifts
    -0.63
     identifiers
    -0.63
    omes
    -0.63
    POSITIVE LOGITS
    tackle
    0.76
    gie
    0.73
     defense
    0.67
     gauge
    0.67
     triangle
    0.66
     particle
    0.64
     maximizing
    0.64
     Buster
    0.63
     touches
    0.60
    chel
    0.60
    Activations Density 0.000%

    No Known Activations