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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. 24206
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    Explanations

    occupations and roles in various fields, including athlete, journalist, musician, gamer, and citizen

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various professional and personal identities

    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
    tails
    -0.78
    teness
    -0.66
     regions
    -0.65
    rils
    -0.63
     flights
    -0.62
     embassies
    -0.61
     intervals
    -0.61
     timelines
    -0.60
     periods
    -0.59
    enses
    -0.59
    POSITIVE LOGITS
    chuk
    0.76
    nell
    0.75
     whore
    0.73
    rette
    0.73
     laureate
    0.71
     worthy
    0.69
     unto
    0.68
     extraord
    0.67
    nik
    0.66
    digy
    0.66
    Activations Density 0.421%

    No Known Activations