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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
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    Explanations

    mentions of the location "California" at a strong activation level

    oai_token-act-pair · gpt-3.5-turbo

    mentions of California

    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
    htar
    -0.98
    mble
    -0.80
    hern
    -0.80
    Ò
    -0.77
    chel
    -0.76
    minded
    -0.75
    gey
    -0.75
    entimes
    -0.75
    chest
    -0.74
    hift
    -0.70
    POSITIVE LOGITS
    ISO
    0.88
     Calif
    0.87
     Oro
    0.87
     Springs
    0.84
     Edison
    0.84
     Unified
    0.78
     California
    0.77
     State
    0.77
     Penal
    0.76
     Tech
    0.74
    Activations Density 0.021%

    No Known Activations