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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. 8000
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    Explanations

    words related to sudden and significant events or changes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to events or changes that lead to a significant outcome or situation

    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
    erness
    -0.73
    ership
    -0.68
    pocket
    -0.67
    weekly
    -0.66
    hander
    -0.66
    wana
    -0.64
    Ĥ¬
    -0.63
    alam
    -0.62
    dress
    -0.61
     overheard
    -0.58
    POSITIVE LOGITS
    itous
    1.53
     precip
    1.41
    itating
    1.04
    itant
    0.98
    itates
    0.97
    itated
    0.96
    itate
    0.96
    uations
    0.90
    uating
    0.84
    uates
    0.83
    Activations Density 0.006%

    No Known Activations