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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. 14311
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating proximity or presence in a competitive context

    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
    _-
    -0.80
    atari
    -0.72
    Query
    -0.70
    oother
    -0.66
    ãĥĩ
    -0.64
    sem
    -0.64
    382
    -0.63
    263
    -0.62
    659
    -0.62
    Items
    -0.61
    POSITIVE LOGITS
     existence
    1.26
     terms
    1.13
     town
    1.03
     America
    1.01
     history
    0.98
     Europe
    0.97
    efficiency
    0.84
     spite
    0.83
     regards
    0.82
     attendance
    0.82
    Activations Density 0.108%

    No Known Activations