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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. 9-RES-JB
    11. 13744
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    Explanations

    phrases related to one-on-one interactions

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "one-on-one" interactions or scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ONSORED
    -0.59
    WER
    -0.59
    erie
    -0.55
    severe
    -0.53
    shall
    -0.53
    ptin
    -0.53
    emetery
    -0.53
     Spectre
    -0.51
     tad
    -0.51
     stagn
    -0.51
    POSITIVE LOGITS
    etime
    0.75
    anced
    0.72
    ouched
    0.71
    PLA
    0.66
    illian
    0.64
    onest
    0.64
    apest
    0.63
    ones
    0.62
    ixt
    0.61
    activated
    0.61
    Activations Density 0.064%

    No Known Activations