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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. 6-RES-JB
    11. 20480
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    Explanations

    mentions of numbers indicating the quantity of specific entities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific groups of individuals, particularly using cardinal numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    fw
    -0.80
    tch
    -0.65
    ahime
    -0.64
    biz
    -0.64
    atown
    -0.64
    Dialogue
    -0.64
    ck
    -0.63
    nect
    -0.63
    history
    -0.62
    erb
    -0.61
    POSITIVE LOGITS
     sides
    1.00
     phases
    0.92
     facets
    0.89
     sexes
    0.84
     halves
    0.82
     senses
    0.81
     corners
    0.79
    ieth
    0.78
     genders
    0.77
     factions
    0.75
    Activations Density 0.051%

    No Known Activations