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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. 21819
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    INDEX
    Explanations

    descriptions or mentions of camera lenses

    oai_token-act-pair · gpt-3.5-turbo

    terms and concepts related to lenses and optical devices

    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
    lly
    -0.77
    BY
    -0.73
     Chatt
    -0.72
    anqu
    -0.70
    TY
    -0.68
    avez
    -0.67
     Upton
    -0.64
    thel
    -0.63
    idespread
    -0.63
    DIT
    -0.62
    POSITIVE LOGITS
     lens
    1.16
     flares
    1.11
     lenses
    1.10
     flare
    1.01
     Lens
    1.01
    Lens
    0.98
    linger
    0.86
    horn
    0.82
     Mechdragon
    0.80
     Flare
    0.80
    Activations Density 0.015%

    No Known Activations