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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. 1931
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    Explanations

    phrases related to places or locations

    oai_token-act-pair · gpt-3.5-turbo

    Spanish articles and determiners

    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
    icz
    -0.88
    itter
    -0.85
    obook
    -0.83
    rency
    -0.83
    ilee
    -0.78
    inction
    -0.77
    ère
    -0.77
    atum
    -0.75
    ernaut
    -0.74
    ONY
    -0.73
    POSITIVE LOGITS
     tiers
    0.84
     occupations
    0.84
     contradictions
    0.83
     lights
    0.81
     layers
    0.79
     trophies
    0.78
     aliases
    0.76
     apostles
    0.76
     defences
    0.75
     logos
    0.75
    Activations Density 0.029%

    No Known Activations