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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. 9-RES-JB
    11. 13632
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    Explanations

    phrases indicating personal viewpoints or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal opinions or subjective beliefs

    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
    ufact
    -0.68
    azon
    -0.66
    apult
    -0.64
    ago
    -0.64
    boss
    -0.63
    learn
    -0.61
    perty
    -0.60
    arag
    -0.60
    rir
    -0.60
    cellaneous
    -0.59
    POSITIVE LOGITS
     anyway
    0.73
    ,
    0.68
     anyways
    0.65
     euth
    0.61
    âĶĢâĶĢâĶĢâĶĢ
    0.60
     it
    0.59
     whatsoever
    0.58
    etus
    0.56
    ,,
    0.56
     nothing
    0.55
    Activations Density 0.124%

    No Known Activations