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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. 6-RES-JB
    11. 23792
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    Explanations

    phrases related to scholarly analysis and intellectual discussion

    oai_token-act-pair · gpt-3.5-turbo

    references to significant studies or intellectual contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VERTISEMENT
    -0.71
     respectively
    -0.64
    selves
    -0.62
     Parenthood
    -0.59
    ?".
    -0.59
     selves
    -0.59
    usercontent
    -0.58
    âĶĢâĶĢ
    -0.58
     mutual
    -0.57
    ..."
    -0.56
    POSITIVE LOGITS
     himself
    1.03
     rhetorical
    0.67
    bold
    0.67
     ital
    0.66
     Himself
    0.66
     rhet
    0.65
     keynote
    0.65
     Exhibit
    0.64
     disingen
    0.63
    essen
    0.63
    Activations Density 1.051%

    No Known Activations