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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. 20714
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    Explanations

    adverbs describing the manner or intensity of an action

    oai_token-act-pair · gpt-3.5-turbo

    words associated with strong actions or intensity

    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
     paradise
    -0.76
     Recon
    -0.69
    opia
    -0.68
    ster
    -0.67
    uten
    -0.67
    ramid
    -0.66
     hostages
    -0.64
     Mercenary
    -0.62
     surplus
    -0.62
    iste
    -0.61
    POSITIVE LOGITS
    PLA
    1.02
     loudly
    0.89
     vigorously
    0.83
    ãĥ£
    0.78
    ãĤ£
    0.76
    hovah
    0.73
    Acknowled
    0.73
     louder
    0.72
    Case
    0.72
    itud
    0.70
    Activations Density 0.034%

    No Known Activations