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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 8-RES-JB
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    Explanations

    the word "and"

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions, particularly the word "and."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wark
    -0.78
    ummer
    -0.76
    acas
    -0.68
    istics
    -0.67
    uto
    -0.67
    ied
    -0.67
    profits
    -0.65
    ize
    -0.65
    wx
    -0.65
    ews
    -0.64
    POSITIVE LOGITS
     hence
    1.17
     secondly
    1.12
     consequently
    1.06
     therefore
    1.01
     thus
    0.97
     consequ
    0.94
     thereby
    0.86
     thence
    0.85
     optionally
    0.84
     preferably
    0.82
    Activations Density 0.361%

    No Known Activations