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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. 9184
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    Explanations

    phrases related to famous individuals, possibly in the context of entertainment or media

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or characters, particularly those whose names include the letter 'J'

    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
    uity
    -0.73
    imeters
    -0.63
     Thumbnails
    -0.62
     predec
    -0.62
    achev
    -0.59
     calories
    -0.59
    SOURCE
    -0.59
     srfAttach
    -0.58
    perture
    -0.58
     centr
    -0.58
    POSITIVE LOGITS
    EStream
    0.88
    unal
    0.84
     Rowling
    0.81
    ensen
    0.80
     Whedon
    0.79
    neys
    0.78
     Marriott
    0.76
    eki
    0.74
    ernaut
    0.74
    ansen
    0.74
    Activations Density 0.306%

    No Known Activations