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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. 3-RES-JB
    11. 3842
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    Explanations

    terms related to the estimation of quantities or values

    oai_token-act-pair · gpt-3.5-turbo

    terms related to underestimation and miscalculation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unal
    -0.78
    aghan
    -0.73
    ozo
    -0.71
    scrib
    -0.71
    DH
    -0.70
    ife
    -0.70
    andro
    -0.68
    arez
    -0.68
    Discussion
    -0.67
    aily
    -0.66
    POSITIVE LOGITS
     underestimate
    1.22
     underest
    1.19
     underestimated
    1.16
     overest
    1.15
    imates
    1.06
    imation
    0.96
    imating
    0.91
    imate
    0.80
    imated
    0.80
     inacc
    0.72
    Activations Density 0.017%

    No Known Activations