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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. 10-RES-JB
    11. 4956
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    Explanations

    keywords related to educational enrollment and financial aspects in a setting like a college or institution

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurements of participation or occupancy in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -1.02
    otom
    -0.78
    nee
    -0.72
    lear
    -0.71
    adr
    -0.66
    olog
    -0.65
    ofi
    -0.64
    atom
    -0.63
    oros
    -0.61
    esthetic
    -0.61
    POSITIVE LOGITS
     rates
    1.30
     numbers
    1.26
     figures
    1.21
     percentages
    1.20
     totals
    1.20
     ratios
    1.19
     spikes
    1.18
     rate
    1.18
     declines
    1.18
     levels
    1.17
    Activations Density 0.164%

    No Known Activations