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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. 9-RES-JB
    11. 17956
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to a specific domain name

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tics
    -0.78
     Clement
    -0.78
    eph
    -0.76
    thus
    -0.72
    iah
    -0.66
    tical
    -0.63
    hran
    -0.63
     Bers
    -0.62
    sil
    -0.62
    zz
    -0.61
    POSITIVE LOGITS
     regist
    0.85
     name
    0.84
     registrations
    0.79
     domain
    0.78
     names
    0.76
     suffix
    0.76
    plates
    0.75
     controllers
    0.74
     controller
    0.74
     domains
    0.73
    Activations Density 0.037%

    No Known Activations