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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. 6-RES-JB
    11. 20725
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    INDEX
    Explanations

    phrases related to desire, ambition, or competition

    oai_token-act-pair · gpt-3.5-turbo

    key phrases related to economics and market conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hovah
    -0.75
    assadors
    -0.70
    apest
    -0.64
    enced
    -0.63
    aughtered
    -0.63
    emale
    -0.60
    olphin
    -0.60
    lav
    -0.59
    itored
    -0.59
    aught
    -0.58
    POSITIVE LOGITS
     negativity
    0.64
     unsuspecting
    0.61
     weeds
    0.61
     precon
    0.60
     murky
    0.59
     flavorful
    0.58
     absurdity
    0.57
     booze
    0.56
     muddy
    0.56
     bandwagon
    0.55
    Activations Density 1.082%

    No Known Activations