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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. 3221
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    Explanations

    phrases related to planning and organizational actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "planning" and related forms, indicating discussions about preparation or organization

    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
    bery
    -0.71
    govtrack
    -0.69
    aghd
    -0.68
    ĪĴ
    -0.67
    weed
    -0.67
    duc
    -0.67
    athi
    -0.67
    mint
    -0.66
    ILA
    -0.64
    anch
    -0.63
    POSITIVE LOGITS
     ahead
    0.97
     Parenthood
    0.93
    paren
    0.91
     beforehand
    0.89
     obs
    0.86
     accordingly
    0.84
     vacations
    0.84
    escape
    0.82
     trips
    0.82
    etary
    0.77
    Activations Density 0.067%

    No Known Activations