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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. 11-RES-JB
    11. 5376
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    Explanations

    phrases related to personal experiences and opinions

    oai_token-act-pair · gpt-3.5-turbo

    subjects and specific personal references within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endif
    -0.66
     endif
    -0.65
    assuming
    -0.61
    Whatever
    -0.61
    Plus
    -0.59
     anyway
    -0.59
    say
    -0.58
    oner
    -0.57
     inevitable
    -0.56
    morrow
    -0.55
    POSITIVE LOGITS
     participated
    1.12
     was
    1.06
     interacted
    1.00
     underwent
    0.98
     participates
    0.98
     received
    0.94
     worked
    0.89
     undertook
    0.88
     took
    0.87
     is
    0.86
    Activations Density 0.816%

    No Known Activations