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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. 8896
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    Explanations

    terms related to legal cases or reports

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions, particularly "and" and "or," indicating connections or choices within the text

    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
    fml
    -0.80
    ysis
    -0.80
    schild
    -0.76
    agy
    -0.76
    ģ«
    -0.75
    hani
    -0.75
    hesda
    -0.74
    apor
    -0.73
    zee
    -0.71
    zona
    -0.71
    POSITIVE LOGITS
     Labrador
    0.67
     Wales
    0.67
     camel
    0.66
     Whats
    0.63
     Twitter
    0.60
     mortar
    0.60
     other
    0.60
     maths
    0.60
     Tor
    0.58
     Miranda
    0.57
    Activations Density 0.281%

    No Known Activations