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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. 17874
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    Explanations

    pronouns used to refer to individuals along with some contextual information about them

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their personal experiences or attributes

    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
    earch
    -0.71
    hips
    -0.66
    relation
    -0.66
    γ
    -0.66
    ghai
    -0.66
    irection
    -0.62
    region
    -0.60
    orry
    -0.58
     Millennium
    -0.58
    antage
    -0.58
    POSITIVE LOGITS
     wand
    0.73
     cheated
    0.72
     experien
    0.70
     reluct
    0.68
     hated
    0.67
     encount
    0.66
     loved
    0.65
     heav
    0.65
     escapes
    0.64
     hemor
    0.63
    Activations Density 0.591%

    No Known Activations