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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. 5-RES-JB
    6. 3667
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    Explanations

    phrases or sentences indicating the beginning or initiation of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the beginning of events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    illard
    -0.87
    itsch
    -0.76
    aths
    -0.75
    ukong
    -0.71
    itte
    -0.69
    mented
    -0.68
    aud
    -0.64
    hold
    -0.64
    ugs
    -0.64
    abytes
    -0.64
    POSITIVE LOGITS
     anew
    0.94
     raining
    0.73
    here
    0.69
     airing
    0.69
     BELOW
    0.68
     dusk
    0.68
    Ń·
    0.66
    OPLE
    0.65
     leaking
    0.65
    nings
    0.64
    Activations Density 0.066%

    No Known Activations