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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. 14558
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    characters or symbols related to division or separation

    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
     Scrib
    -0.81
     Shooter
    -0.73
     tabl
    -0.68
     Creep
    -0.67
     Eid
    -0.65
     Roof
    -0.65
     Strat
    -0.65
     Cats
    -0.63
     Manson
    -0.62
     Congo
    -0.62
    POSITIVE LOGITS
    say
    0.94
    ad
    0.88
    leg
    0.87
    via
    0.83
    adv
    0.82
    devices
    0.80
    maybe
    0.79
    sole
    0.79
    etc
    0.79
    hid
    0.78
    Activations Density 0.016%

    No Known Activations