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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. 7-RES-JB
    11. 8690
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    INDEX
    Explanations

    pronouns 'they' or 'them'

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific group of people or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Eleven
    -0.85
    CCC
    -0.70
     Globe
    -0.70
    paragraph
    -0.68
    noon
    -0.67
    fecture
    -0.67
    jury
    -0.67
    CLASSIFIED
    -0.66
    gery
    -0.63
    Reviewer
    -0.63
    POSITIVE LOGITS
    're
    1.41
    've
    1.17
    'd
    1.07
    'll
    1.05
    selves
    1.04
     selves
    1.00
     themselves
    0.96
     were
    0.92
     are
    0.85
     could
    0.85
    Activations Density 0.275%

    No Known Activations