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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. 13981
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    Explanations

    descriptions of sequential steps or processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the introduction or explanation of characters or roles

    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
     lately
    -0.77
    Semitism
    -0.70
     understatement
    -0.70
    Politics
    -0.66
    sect
    -0.66
    cellence
    -0.64
    Saint
    -0.63
    nuts
    -0.63
     extremism
    -0.61
    trop
    -0.60
    POSITIVE LOGITS
     predetermined
    0.89
     determines
    0.76
     whichever
    0.75
     optionally
    0.75
     automatically
    0.71
     determine
    0.69
     input
    0.68
     periodically
    0.68
     retrie
    0.68
    etermined
    0.67
    Activations Density 1.303%

    No Known Activations