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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. 9-RES-JB
    11. 17402
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    Explanations

    names of persons or entities

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or prominent figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LEASE
    -0.66
     advertisers
    -0.63
     cess
    -0.63
    agons
    -0.62
     overwhelming
    -0.61
     overlap
    -0.61
     stability
    -0.60
     amuse
    -0.60
     snag
    -0.60
     disturbance
    -0.60
    POSITIVE LOGITS
    oglu
    1.36
    Äĩ
    1.17
    ÄŁ
    1.06
    eva
    1.05
    ño
    1.02
    oÄŁ
    1.02
    ovi
    1.00
    iev
    0.97
     aka
    0.97
    ovic
    0.96
    Activations Density 0.333%

    No Known Activations