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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. 9-RES-JB
    11. 19816
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    INDEX
    Explanations

    specific references to AM in a text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the abbreviation "AM" followed by numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ttes
    -0.86
    cko
    -0.68
    zzi
    -0.64
    hered
    -0.64
    kie
    -0.63
    hiba
    -0.62
    vous
    -0.62
     externalToEVAOnly
    -0.61
    hold
    -0.61
    above
    -0.60
    POSITIVE LOGITS
    AZ
    1.21
    endment
    1.13
    OUNT
    1.10
    NH
    1.10
    sterdam
    1.00
    HER
    0.98
    ARC
    0.98
    ILY
    0.92
    BI
    0.90
    OUN
    0.88
    Activations Density 0.033%

    No Known Activations