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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 7598
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    Explanations

    statements related to personal beliefs or values

    oai_token-act-pair · gpt-3.5-turbo

    assertive statements about personal experiences and opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arthed
    -0.61
    itled
    -0.57
    reply
    -0.56
    DCS
    -0.55
    tains
    -0.53
    dor
    -0.53
    arranted
    -0.52
    Following
    -0.51
     lamented
    -0.50
    recent
    -0.50
    POSITIVE LOGITS
    !"
    1.05
     everywhere
    0.95
    !'"
    0.88
     wherever
    0.88
     anyway
    0.87
     anyways
    0.85
    !".
    0.84
    !!"
    0.83
    ."
    0.83
    !
    0.82
    Activations Density 0.932%

    No Known Activations