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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. 20069
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    INDEX
    Explanations

    verbs or adjectives related to rapid or significant increase

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with significant increases in value or intensity

    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
    nec
    -0.74
    OH
    -0.70
    tein
    -0.66
    Maps
    -0.64
    itu
    -0.63
    relation
    -0.62
    士
    -0.61
    MRI
    -0.60
    ãĥĨãĤ£
    -0.59
    pora
    -0.57
    POSITIVE LOGITS
     tremend
    0.89
    efully
    0.82
     soaring
    0.78
     Canter
    0.74
    wcs
    0.74
    ooming
    0.73
    acebook
    0.71
    stakes
    0.70
     soared
    0.68
    apult
    0.68
    Activations Density 0.029%

    No Known Activations