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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. 4986
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    Explanations

    phrases related to time or duration

    oai_token-act-pair · gpt-3.5-turbo

    references to complex systems or processes, particularly those involving health or conditions related to death

    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
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    No Comments

    Negative Logits
    ÃĥÃĤÃĥÃĤ
    -0.88
     occas
    -0.88
    ò
    -0.79
     tremend
    -0.76
    ñ
    -0.75
     unnecess
    -0.75
    senal
    -0.74
     subur
    -0.73
    nces
    -0.72
    everal
    -0.72
    POSITIVE LOGITS
    ick
    0.69
    angler
    0.66
    icken
    0.65
    ong
    0.64
    hin
    0.63
    365
    0.62
    hap
    0.61
    ste
    0.60
    Heart
    0.60
    ang
    0.60
    Activations Density 0.267%

    No Known Activations