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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. 3-RES-JB
    11. 8889
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    Explanations

    words related to legal terms or actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of "ement" endings or derivatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Karl
    -0.74
    Karl
    -0.69
    yright
    -0.67
    ullivan
    -0.66
     Saunders
    -0.63
     purse
    -0.63
     Yen
    -0.62
    FTWARE
    -0.62
    Cu
    -0.61
     edible
    -0.61
    POSITIVE LOGITS
    ement
    1.05
    ial
    0.89
    alities
    0.89
    eering
    0.86
    eer
    0.86
    ality
    0.85
    ements
    0.84
    ment
    0.83
    als
    0.83
    ments
    0.81
    Activations Density 0.015%

    No Known Activations