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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6418
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    Explanations

    proper nouns and hypothetical situations starting with "Had."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Had" in various contexts

    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
    FTWARE
    -0.81
     outp
    -0.69
    oshenko
    -0.67
     scrimmage
    -0.64
     pept
    -0.62
     glove
    -0.61
     honoring
    -0.59
     tomat
    -0.58
     hars
    -0.57
     extingu
    -0.56
    POSITIVE LOGITS
    iths
    0.93
    hers
    0.92
    rien
    0.91
    ibur
    0.91
    ith
    0.88
    rons
    0.85
    vard
    0.85
    rontal
    0.84
    bro
    0.82
    luck
    0.82
    Activations Density 0.074%

    No Known Activations