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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. 8174
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    INDEX
    Explanations

    identifiers and separators in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    repeated or consecutive punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
     Wiggins
    -0.77
    atum
    -0.70
    gi
    -0.69
    imum
    -0.68
     Bird
    -0.68
    vel
    -0.67
     repl
    -0.64
     Cooper
    -0.64
    reen
    -0.63
    atures
    -0.63
    POSITIVE LOGITS
    ————
    0.90
    _-
    0.84
    xual
    0.81
    -+
    0.77
    {{
    0.74
    DOWN
    0.73
     ---------
    0.73
    hemy
    0.73
    kers
    0.72
    properties
    0.72
    Activations Density 0.012%

    No Known Activations