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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. 24070
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    Explanations

    phrases concerning part-time work

    oai_token-act-pair · gpt-3.5-turbo

    references to part-time employment

    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
    ramid
    -0.86
    LCS
    -0.84
    ĸļ
    -0.77
    iosyncr
    -0.72
    dyl
    -0.71
    amar
    -0.70
    adesh
    -0.69
    reditary
    -0.69
    ggles
    -0.68
    imen
    -0.68
    POSITIVE LOGITS
     Bucc
    0.76
    boarding
    0.75
     equivalents
    0.72
    ctors
    0.69
    frames
    0.68
     learners
    0.67
     pupils
    0.67
     continuum
    0.66
    plane
    0.66
    casting
    0.65
    Activations Density 0.029%

    No Known Activations