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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. 8-RES-JB
    11. 8935
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    Explanations

    the preposition "in"

    oai_token-act-pair · gpt-3.5-turbo

    empty or placeholder content, indicating a lack of specific information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    0000000000000000
    -0.67
     vulner
    -0.67
    llor
    -0.66
    emale
    -0.65
    APD
    -0.65
     fortun
    -0.64
    #$
    -0.64
     withd
    -0.63
    edIn
    -0.62
    76561
    -0.61
    POSITIVE LOGITS
    clus
    0.85
    clusions
    0.83
     lieu
    0.80
     vitro
    0.79
     Detail
    0.78
     vivo
    0.77
     ][
    0.76
    cluded
    0.76
    activated
    0.76
    icio
    0.75
    Activations Density 0.050%

    No Known Activations