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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. 6-RES-JB
    11. 4324
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    Explanations

    proper names and relevant nouns such as "Hobby Lobby" and individuals like "Garrett"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific people and organizations, particularly focusing on "Garrett," "Hobby Lobby," and "Holder."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atform
    -1.03
    stic
    -0.84
    uscript
    -0.82
    ieties
    -0.80
    enth
    -0.80
    arre
    -0.80
    oca
    -0.78
    kee
    -0.78
    oin
    -0.76
    oman
    -0.76
    POSITIVE LOGITS
     lapse
    0.82
     Grimes
    0.77
     grinding
    0.68
     Lobby
    0.68
     pedal
    0.66
     clutch
    0.65
     Skinner
    0.65
    iffin
    0.64
     clamp
    0.63
     zipper
    0.62
    Activations Density 0.056%

    No Known Activations