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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. 6-RES-JB
    11. 294
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    Explanations

    proper nouns related to park locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, particularly parks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dilig
    -0.87
    nces
    -0.85
     pneum
    -0.77
    acist
    -0.77
    Downloadha
    -0.76
    apter
    -0.73
    acists
    -0.68
    binary
    -0.67
    interstitial
    -0.63
     dimensional
    -0.62
    POSITIVE LOGITS
    hurst
    1.04
     Zoo
    0.90
    walking
    0.86
    park
    0.84
     Rangers
    0.83
    walker
    0.79
    walk
    0.79
     Avenue
    0.76
     Plaza
    0.74
    itect
    0.74
    Activations Density 0.019%

    No Known Activations