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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. 4-RES-JB
    11. 2203
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    INDEX
    Explanations

    phrases or sentences related to risks or uncertainties

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of risks and dangers

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

    No Comments

    Negative Logits
    onement
    -0.72
    graph
    -0.70
    LINE
    -0.69
    owder
    -0.64
    line
    -0.63
    rip
    -0.63
    ership
    -0.63
    info
    -0.62
    inton
    -0.61
    otide
    -0.61
    POSITIVE LOGITS
    afety
    1.06
    hooting
    1.02
    cale
    0.96
    pring
    0.94
    omething
    0.90
    hift
    0.85
    mith
    0.80
    uggest
    0.80
    cape
    0.80
    pread
    0.79
    Activations Density 0.150%

    No Known Activations