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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. 13466
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    Explanations

    adjectives emphasizing a moderate degree or intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a moderate degree of emotional or situational assessment

    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
    ovies
    -0.80
    apons
    -0.78
    inarily
    -0.77
    ocity
    -0.76
     Siber
    -0.73
    iership
    -0.73
    eneg
    -0.72
    idth
    -0.72
    itures
    -0.72
    æ©
    -0.71
    POSITIVE LOGITS
     bit
    0.90
    umen
    0.86
     prick
    0.73
    terness
    0.73
     aspirin
    0.73
     cryptic
    0.71
     pricey
    0.69
     peek
    0.68
     reminiscent
    0.67
     awkward
    0.67
    Activations Density 0.019%

    No Known Activations