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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. 1818
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    Explanations

    terms related to estimation errors, including both underestimation and overestimation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to estimation and assessment of value or impact

    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
    aghan
    -0.77
    unal
    -0.76
    ktop
    -0.72
    alion
    -0.69
    ĪĴ
    -0.68
    iety
    -0.67
    agra
    -0.67
    ozo
    -0.67
    arez
    -0.67
    je
    -0.67
    POSITIVE LOGITS
     underest
    1.17
     overest
    1.13
     underestimate
    1.12
    imates
    1.08
     underestimated
    1.04
    imation
    1.03
    imating
    1.00
    imated
    0.87
    imate
    0.86
     inacc
    0.70
    Activations Density 0.019%

    No Known Activations