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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. 7-RES-JB
    11. 16784
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    INDEX
    Explanations

    prepositions indicating loss or defeat

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to" followed by negative outcomes or defeats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clud
    -0.85
    ahime
    -0.72
    handled
    -0.71
     largeDownload
    -0.71
    intosh
    -0.69
    çķ
    -0.68
    ridges
    -0.68
    pring
    -0.67
    spir
    -0.67
    ires
    -0.66
    POSITIVE LOGITS
     temptation
    1.01
     accommodate
    0.97
     fend
    0.95
     appease
    0.95
     compensate
    0.84
     conserve
    0.80
     avoid
    0.79
     minimize
    0.79
     protect
    0.78
     achieve
    0.78
    Activations Density 0.157%

    No Known Activations