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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. 8-RES-JB
    11. 11526
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    INDEX
    Explanations

    prepositions, specifically 'to' followed by a variety of words

    oai_token-act-pair · gpt-3.5-turbo

    words indicating importance or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    calling
    -0.75
    croft
    -0.69
    tun
    -0.66
    busters
    -0.65
    hetto
    -0.64
    escal
    -0.63
    uli
    -0.63
     tricked
    -0.61
    vich
    -0.61
    erred
    -0.61
    POSITIVE LOGITS
    ggles
    0.96
     contemplate
    0.86
     us
    0.79
    aceae
    0.79
     behold
    0.78
    ilet
    0.77
     me
    0.76
    llers
    0.74
    ADS
    0.74
    asts
    0.73
    Activations Density 0.147%

    No Known Activations