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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. 0-RES-JB
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    Explanations

    proper nouns or names, particularly those related to a brand or individual named "Sharp."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Sharp" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vac
    -0.77
     vag
    -0.75
    stitial
    -0.71
     occupant
    -0.69
     libertarian
    -0.69
     exch
    -0.69
     cycle
    -0.66
     authentic
    -0.66
     libertarians
    -0.65
    liber
    -0.65
    POSITIVE LOGITS
     Sharp
    4.00
    Sharp
    2.55
    sharp
    1.73
     Shed
    1.23
     Cooke
    1.16
     Ruff
    1.09
     Shine
    0.98
     Slay
    0.98
     Shar
    0.97
     Cutler
    0.96
    Activations Density 0.015%

    No Known Activations