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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. 1-RES-JB
    11. 16147
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    INDEX
    Explanations

    opportunities or related terms

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to opportunities or opposition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     veins
    -0.66
     coarse
    -0.63
     Copenhagen
    -0.63
     Penal
    -0.62
     Newport
    -0.62
     calcium
    -0.62
     cort
    -0.62
    ãģ®å®
    -0.61
     magnesium
    -0.61
     Kyoto
    -0.60
    POSITIVE LOGITS
    ortun
    1.51
    osite
    1.30
    opp
    1.30
    onent
    1.24
    osition
    1.22
    onents
    1.03
    otaur
    0.92
    rentice
    0.91
    odcast
    0.90
    busters
    0.90
    Activations Density 0.004%

    No Known Activations