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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. 3-RES-JB
    11. 23164
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    Explanations

    places or events known for their ambiance or mood

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "atmosphere" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leaf
    -0.74
    tics
    -0.73
    Fat
    -0.73
    erers
    -0.72
    sis
    -0.64
    axis
    -0.64
    dead
    -0.64
    vasive
    -0.64
    missions
    -0.63
    aring
    -0.63
    POSITIVE LOGITS
     atmosphere
    1.10
     conducive
    0.95
     Atmosp
    0.91
     vibe
    0.90
    yip
    0.87
     atmosp
    0.86
     banter
    0.78
    -+-+
    0.77
     rapport
    0.77
     largeDownload
    0.76
    Activations Density 0.048%

    No Known Activations