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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. 2-RES-JB
    11. 11865
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    Explanations

    actions involving physical movement or physical force, such as throwing, shoving, and rushing

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and related terms indicating hurried or forceful actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omial
    -0.80
    ocene
    -0.78
    redo
    -0.78
    uration
    -0.74
    rared
    -0.73
    resident
    -0.73
    ornia
    -0.72
    artisan
    -0.71
    henko
    -0.71
    orius
    -0.71
    POSITIVE LOGITS
     hur
    1.29
     encour
    0.78
    itably
    0.75
     Hast
    0.75
     hurry
    0.74
    jj
    0.73
    ++++++++++++++++
    0.67
     seeker
    0.66
    rily
    0.66
     Bron
    0.66
    Activations Density 0.021%

    No Known Activations