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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. 9112
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    Explanations

    phrases related to creating a negative or challenging situation or environment

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cultural or systemic creation and its implications

    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
    enance
    -0.76
     aloud
    -0.73
    awaru
    -0.72
    ked
    -0.67
    govtrack
    -0.67
     onwards
    -0.66
    gt
    -0.65
    write
    -0.65
    gnu
    -0.63
    ebus
    -0.62
    POSITIVE LOGITS
     impression
    0.90
     environment
    0.86
     atmosphere
    0.84
     illusion
    0.83
     havoc
    0.82
    environment
    0.81
     persona
    0.79
     conducive
    0.79
     rift
    0.76
     stir
    0.75
    Activations Density 0.269%

    No Known Activations