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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. 20534
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    INDEX
    Explanations

    mentions of the word "need."

    oai_token-act-pair · gpt-3.5-turbo

    expressions of necessity or urgent requirements

    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
    anka
    -0.73
    washer
    -0.68
    gdala
    -0.66
     quir
    -0.63
    ipop
    -0.60
    cohol
    -0.60
    cheat
    -0.60
    peed
    -0.59
     sidx
    -0.58
    pack
    -0.57
    POSITIVE LOGITS
    lessly
    1.18
    nces
    0.81
    HAEL
    0.77
    ILY
    0.76
    END
    0.76
    ONEY
    0.71
    enegger
    0.71
    n
    0.70
    hester
    0.69
    ORTS
    0.68
    Activations Density 0.078%

    No Known Activations