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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. 11-RES-JB
    11. 230
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    Explanations

    words related to locations or places, specifically with a focus on Panomar

    oai_token-act-pair · gpt-3.5-turbo

    words related to names and titles, particularly focusing on a specific individual or character

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    selves
    -0.58
    glers
    -0.57
     otherwise
    -0.54
    gnu
    -0.54
     Winn
    -0.53
    imore
    -0.53
     conven
    -0.53
    ements
    -0.52
     sqor
    -0.51
    EMENT
    -0.50
    POSITIVE LOGITS
    ossom
    0.76
    ocene
    0.70
    ieri
    0.69
    artz
    0.68
    issance
    0.68
     Nieto
    0.66
    ples
    0.65
    uese
    0.64
    encia
    0.64
    iere
    0.63
    Activations Density 0.156%

    No Known Activations