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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. 9-RES-JB
    11. 15810
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    INDEX
    Explanations

    estimates or estimations of quantities or values

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical data and estimates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    feeding
    -0.77
    matter
    -0.76
    woods
    -0.73
    ĪĴ
    -0.73
    ierre
    -0.70
    FACE
    -0.70
    gob
    -0.66
    elight
    -0.65
    Fight
    -0.64
    Interstitial
    -0.62
    POSITIVE LOGITS
    imate
    0.99
     estimates
    0.94
     estimate
    0.84
    imates
    0.84
     estimating
    0.82
     estimated
    0.76
    imating
    0.75
    uca
    0.71
     priced
    0.70
     distances
    0.69
    Activations Density 0.044%

    No Known Activations