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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10584
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    INDEX
    Explanations

    personal pronouns

    oai_token-act-pair · gpt-3.5-turbo

    references to the speaker and the collective, emphasizing personal and shared experiences

    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
     Finish
    -0.78
    ulton
    -0.73
    REP
    -0.66
     HRC
    -0.62
    CLOSE
    -0.60
    Construction
    -0.60
     instituted
    -0.59
    Record
    -0.59
     Sind
    -0.58
    Finish
    -0.57
    POSITIVE LOGITS
    adow
    1.13
    imei
    0.99
    adows
    0.99
    erent
    0.90
    andering
    0.89
    ern
    0.84
    usal
    0.83
    hers
    0.82
    uf
    0.80
    asured
    0.79
    Activations Density 0.084%

    No Known Activations