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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 17943
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    INDEX
    Explanations

    proper nouns related to locations, organizations, and individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating inclusion or association with groups

    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
     Woodward
    -0.75
    afety
    -0.67
     Debor
    -0.59
     correction
    -0.58
    chie
    -0.58
    uid
    -0.58
    aturday
    -0.56
     shootout
    -0.56
     PAN
    -0.55
    zag
    -0.55
    POSITIVE LOGITS
     respectively
    1.43
     combined
    0.84
    ibaba
    0.80
     latter
    0.77
     collectively
    0.76
    Interstitial
    0.72
    idges
    0.72
    depending
    0.72
    together
    0.71
     jointly
    0.71
    Activations Density 0.801%

    No Known Activations