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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. 10-RES-JB
    11. 8047
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    Explanations

    specific mentions of the word "You" with variations in capitalization

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "You" and variations of it, indicating a focus on direct address or engagement with the audience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.74
     slowing
    -0.70
     vain
    -0.69
    assetsadobe
    -0.67
     dece
    -0.65
     dotted
    -0.64
     silenced
    -0.64
     diver
    -0.64
     profiling
    -0.63
     suppressed
    -0.63
    POSITIVE LOGITS
    mans
    0.85
    lan
    0.80
    zac
    0.79
    lins
    0.78
    oran
    0.77
    cham
    0.77
    iba
    0.76
    sei
    0.76
    chel
    0.75
    atson
    0.75
    Activations Density 0.156%

    No Known Activations