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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. 3-RES-JB
    11. 4736
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    Explanations

    proper nouns related to individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or prominent figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    recy
    -0.74
    ions
    -0.73
    sen
    -0.73
    luck
    -0.73
    nesses
    -0.72
    orpor
    -0.72
    rition
    -0.71
    ionage
    -0.70
    lla
    -0.69
    redo
    -0.68
    POSITIVE LOGITS
    kees
    0.82
     Haram
    0.80
    ét
    0.74
    ovember
    0.74
     Scotia
    0.74
    oses
    0.72
     Yards
    0.71
     Gleaming
    0.71
     Clash
    0.70
    otation
    0.66
    Activations Density 0.018%

    No Known Activations