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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. 3-RES-JB
    11. 17409
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    the names of individuals, particularly those involved in journalism or notable events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cavity
    -0.70
     Clarkson
    -0.69
     miscarriage
    -0.64
    ously
    -0.64
     WARN
    -0.63
    LINE
    -0.62
    gency
    -0.61
    ãĥ¡
    -0.61
    llers
    -0.61
     hazard
    -0.60
    POSITIVE LOGITS
    ivas
    1.45
    terness
    0.94
    ques
    0.86
    quer
    0.84
    lov
    0.83
    aban
    0.82
    ahu
    0.79
    acs
    0.78
    arov
    0.78
    owitz
    0.76
    Activations Density 0.015%

    No Known Activations