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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. 0-RES-JB
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    keywords related to nutrition and dietary intake

    oai_token-act-pair · gpt-3.5-turbo

    references to nutrition and dietary content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NF
    -0.71
    shaw
    -0.71
     Straw
    -0.67
    FP
    -0.67
    hw
    -0.64
    unn
    -0.64
    awi
    -0.63
    flies
    -0.63
    af
    -0.62
     [&
    -0.62
    POSITIVE LOGITS
    rition
    3.08
    ritional
    2.75
    ainment
    2.64
    rients
    1.43
    rient
    1.35
    itudinal
    1.16
     rou
    1.02
    gencies
    0.95
     peel
    0.83
    itud
    0.82
    Activations Density 0.034%

    No Known Activations