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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. 7-RES-JB
    11. 23805
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Clement
    -0.77
    tics
    -0.73
    eph
    -0.70
    aquin
    -0.69
    thus
    -0.68
    ocaust
    -0.63
    pter
    -0.63
    acus
    -0.63
     Fulton
    -0.63
    hani
    -0.63
    POSITIVE LOGITS
     domain
    0.82
     domains
    0.81
    plates
    0.80
    domain
    0.78
    plate
    0.75
     regist
    0.75
    Market
    0.74
     registrations
    0.74
     Domain
    0.73
     name
    0.73
    Activations Density 0.027%

    No Known Activations