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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. 10600
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    Explanations

    phrases indicating the degree or extent of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that measure the degree or scope of something

    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
    RY
    -0.74
    wark
    -0.68
    reth
    -0.67
    pton
    -0.66
    stitial
    -0.65
     Bans
    -0.65
    ivas
    -0.64
    cair
    -0.64
    ton
    -0.64
    byte
    -0.63
    POSITIVE LOGITS
     extent
    0.98
    essment
    0.78
     practicable
    0.73
    tenance
    0.71
    ially
    0.68
    iary
    0.68
    eme
    0.68
    conom
    0.67
    enaries
    0.65
    afety
    0.65
    Activations Density 0.016%

    No Known Activations