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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. 10-RES-JB
    11. 24022
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    Explanations

    words related to removal or exclusion

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of elimination or removal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.71
    soType
    -0.66
    dn
    -0.65
    wat
    -0.64
    felt
    -0.64
    ETS
    -0.64
     Nieto
    -0.64
    embed
    -0.63
    fab
    -0.63
    nan
    -0.62
    POSITIVE LOGITS
     altogether
    1.11
     redund
    0.92
     redundancy
    0.90
     duplication
    0.89
     entirely
    0.86
     prejudice
    0.84
     outright
    0.83
     needless
    0.82
     loopholes
    0.80
     superflu
    0.77
    Activations Density 0.067%

    No Known Activations