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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. 1-RES-JB
    11. 742
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    Explanations

    proper nouns or names, particularly looking for words ending with "lement" and "ranch"

    oai_token-act-pair · gpt-3.5-turbo

    references to elements and their characteristics in a variety of contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fabricated
    -0.70
    mac
    -0.69
    ifter
    -0.63
    mic
    -0.60
     journal
    -0.60
     aluminum
    -0.59
    debug
    -0.58
    å¸
    -0.58
     fake
    -0.58
    spe
    -0.58
    POSITIVE LOGITS
    lement
    1.37
    xual
    0.96
    ation
    0.92
    ially
    0.89
    eering
    0.89
    edly
    0.87
    quished
    0.82
    hower
    0.81
    iculty
    0.79
    oing
    0.79
    Activations Density 0.008%

    No Known Activations