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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. 4-RES-JB
    11. 12313
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    Explanations

    proper names, specifically those beginning with "Saul", "Garry", "GNU", "Mikhail", and "Gustav"

    oai_token-act-pair · gpt-3.5-turbo

    prominent names and associated terms in the context of an organization or campaign

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

    No Comments

    Negative Logits
    ributes
    -0.75
    acl
    -0.73
    acer
    -0.71
    iatus
    -0.70
    umatic
    -0.70
    ocket
    -0.68
    ases
    -0.68
    ulhu
    -0.68
    ribute
    -0.67
    printed
    -0.66
    POSITIVE LOGITS
     Goodman
    1.07
     Katz
    0.84
    theless
    0.79
    sson
    0.78
     Greenberg
    0.71
     Bulg
    0.69
     Sic
    0.69
     Petr
    0.68
     Garry
    0.66
     Misc
    0.66
    Activations Density 0.022%

    No Known Activations