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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
    11. 6545
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    Explanations

    phrases with the word "ashing" or "ashed"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "ash" and its derivatives

    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
    neapolis
    -0.75
    flix
    -0.74
     pregn
    -0.73
    ussen
    -0.73
    elsen
    -0.73
    communication
    -0.72
    psons
    -0.70
    slow
    -0.70
    ervation
    -0.70
     neighb
    -0.68
    POSITIVE LOGITS
    OUT
    0.82
    ashed
    0.81
    ASH
    0.81
    UFF
    0.77
    ashing
    0.75
    TextColor
    0.74
    Pokemon
    0.74
    arb
    0.74
    arthy
    0.73
    Comment
    0.71
    Activations Density 0.013%

    No Known Activations