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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. 2-RES-JB
    11. 18408
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    Explanations

    references to or mentions of research participants or test subjects

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of "subjects" in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ATIONAL
    -0.79
    neau
    -0.76
    IELD
    -0.73
    SOURCE
    -0.72
    IER
    -0.71
    ERROR
    -0.69
     Genie
    -0.69
    Leader
    -0.66
     Alps
    -0.66
    TI
    -0.65
    POSITIVE LOGITS
     Subjects
    1.03
    manship
    0.98
    matter
    0.95
    ively
    0.93
     subjects
    0.91
    userc
    0.89
    hip
    0.82
    iuses
    0.80
    etter
    0.79
    ivities
    0.77
    Activations Density 0.009%

    No Known Activations