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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. 4781
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    Explanations

    phrases indicating providing information or updates to the audience

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize addressing or speaking directly to the audience

    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
    ftime
    -0.78
     Sabha
    -0.72
     Agriculture
    -0.68
     Course
    -0.67
     Paste
    -0.65
     Cook
    -0.63
     Anthropology
    -0.63
     Fried
    -0.61
    idth
    -0.61
    ²¾
    -0.59
    POSITIVE LOGITS
     guys
    1.14
    're
    1.08
    tub
    1.02
    RS
    0.93
    've
    0.80
     know
    0.79
    'll
    0.75
    rx
    0.74
     lucky
    0.74
     naughty
    0.73
    Activations Density 0.099%

    No Known Activations