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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. 17547
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    Explanations

    phrases indicating a lack of association or connection

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases that emphasize a lack or denial of connection to various topics or issues

    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
    kos
    -0.61
    oak
    -0.59
    vale
    -0.59
    ffe
    -0.58
    rano
    -0.58
    markets
    -0.58
    flies
    -0.57
    FIG
    -0.57
    otom
    -0.57
    ritz
    -0.57
    POSITIVE LOGITS
     whatsoever
    1.06
     else
    0.92
     resembling
    0.87
     to
    0.86
     against
    0.72
     constructive
    0.72
     ventured
    0.69
     recourse
    0.68
     bearing
    0.67
     remotely
    0.67
    Activations Density 0.041%

    No Known Activations