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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. 8-RES-JB
    11. 11315
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    INDEX
    Explanations

    words related to photography equipment, particularly lenses

    oai_token-act-pair · gpt-3.5-turbo

    references to optical lenses and their properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lly
    -0.78
    ansom
    -0.74
    currency
    -0.68
    BY
    -0.67
    TY
    -0.63
    lishes
    -0.62
    uca
    -0.62
    alky
    -0.62
    esar
    -0.62
    assium
    -0.62
    POSITIVE LOGITS
     lenses
    1.13
     lens
    1.09
     flares
    1.08
     flare
    0.97
    Lens
    0.92
     Lens
    0.91
     glasses
    0.90
    ner
    0.85
    Cra
    0.81
     Nikon
    0.80
    Activations Density 0.045%

    No Known Activations