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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. 3-RES-JB
    11. 6967
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    Explanations

    references to specific time periods in sports

    oai_token-act-pair · gpt-3.5-turbo

    terms related to baseball innings and academic semesters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivity
    -0.75
    itar
    -0.73
    ees
    -0.71
    ively
    -0.70
    ivities
    -0.67
    bies
    -0.67
    itarian
    -0.67
    ucl
    -0.66
    romy
    -0.66
    maps
    -0.66
    POSITIVE LOGITS
     Skydragon
    0.80
     GOODMAN
    0.69
    notation
    0.68
    displayText
    0.68
    ©¶æ
    0.68
    NING
    0.66
     lieu
    0.66
    steen
    0.66
     Enix
    0.65
    agall
    0.63
    Activations Density 0.029%

    No Known Activations