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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. 22921
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    Explanations

    phrases related to hard work or constant effort

    oai_token-act-pair · gpt-3.5-turbo

    terms related to repetitive tasks or laborious processes

    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
    amera
    -0.74
    idas
    -0.71
    que
    -0.70
    erva
    -0.69
    izations
    -0.65
     Legisl
    -0.65
    isations
    -0.62
    afort
    -0.62
    por
    -0.61
    DragonMagazine
    -0.60
    POSITIVE LOGITS
     grind
    1.09
     Grind
    1.03
    stone
    0.86
    ingly
    0.81
    rite
    0.80
     grinding
    0.79
     grit
    0.78
    itude
    0.77
     marrow
    0.77
    aign
    0.74
    Activations Density 0.121%

    No Known Activations