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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. 1-RES-JB
    11. 8853
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    Explanations

    phrases related to underestimating or overestimating something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to estimation, particularly underestimating and overestimating

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ozo
    -0.78
    DH
    -0.75
    Reviewed
    -0.71
    unal
    -0.71
    Bio
    -0.71
     Nanto
    -0.70
    actions
    -0.69
    ife
    -0.69
    ternity
    -0.66
    Discussion
    -0.66
    POSITIVE LOGITS
     underestimate
    1.48
     underestimated
    1.28
     underest
    1.27
     overest
    1.26
    imates
    1.09
    imation
    0.98
    imating
    0.96
    imate
    0.91
    imated
    0.85
     overlook
    0.75
    Activations Density 0.012%

    No Known Activations