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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. 15231
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    Explanations

    names or terms containing the substring "ha"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "ha"

    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
    atories
    -0.79
    rations
    -0.74
    papers
    -0.72
    rats
    -0.64
     outgoing
    -0.64
    tle
    -0.62
    toc
    -0.62
    bats
    -0.61
     Cosponsors
    -0.60
    URES
    -0.59
    POSITIVE LOGITS
    wn
    1.17
    user
    1.03
    pless
    1.00
    iku
    0.94
    azard
    0.91
    uthor
    0.89
    emi
    0.89
    fter
    0.88
    illard
    0.88
    pta
    0.87
    Activations Density 0.025%

    No Known Activations