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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. 20601
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    Explanations

    descriptive actions or attributes in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions or occurrences

    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
    along
    -0.66
    ¯¯¯¯
    -0.61
    arching
    -0.60
    ————
    -0.60
     Responsibility
    -0.59
     Hes
    -0.59
     Kub
    -0.57
     Qt
    -0.57
    issance
    -0.57
     Goods
    -0.56
    POSITIVE LOGITS
     slightest
    0.68
    ADRA
    0.66
    ffe
    0.65
    othes
    0.65
    itable
    0.64
    unts
    0.63
    uyomi
    0.63
     watered
    0.62
     remotely
    0.60
    etimes
    0.60
    Activations Density 0.221%

    No Known Activations