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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. 4-RES-JB
    11. 2476
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    Explanations

    phrases related to giving credit, providing context, and describing power or promise

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to credit, context, and emotional states

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

    No Comments

    Negative Logits
    ICLE
    -0.72
    ovie
    -0.61
     Za
    -0.59
     Dane
    -0.59
     Terror
    -0.57
     Avenger
    -0.56
     Gazette
    -0.56
     Bellev
    -0.54
     Seas
    -0.54
     Schmidt
    -0.54
    POSITIVE LOGITS
    fulness
    0.90
    smanship
    0.81
    iness
    0.74
     whatsoever
    0.71
    idious
    0.68
    Cub
    0.67
    lessness
    0.66
     awaits
    0.65
    liness
    0.63
    pees
    0.62
    Activations Density 0.494%

    No Known Activations