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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. 6739
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    Explanations

    phrases related to involvement in various activities

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "involve" and its variations

    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
     ceilings
    -0.65
    ipe
    -0.65
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.63
    apult
    -0.63
     skies
    -0.61
    onew
    -0.61
    heit
    -0.59
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.58
    aver
    -0.57
    Ö¼
    -0.57
    POSITIVE LOGITS
    cius
    0.75
    ulkan
    0.75
    licts
    0.74
     Deity
    0.71
    ioned
    0.69
    itaire
    0.68
     involve
    0.67
    Offline
    0.66
     involving
    0.66
    =#
    0.64
    Activations Density 0.026%

    No Known Activations