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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. 7-RES-JB
    11. 8741
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    Explanations

    phrases related to expressing or feeling concern or worry

    oai_token-act-pair · gpt-3.5-turbo

    topics related to concerns and uncertainties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MX
    -0.84
    llan
    -0.71
    ume
    -0.70
    Laughs
    -0.69
    issance
    -0.68
    Yep
    -0.67
    minus
    -0.64
    ession
    -0.64
    xxxxxxxx
    -0.63
    elta
    -0.63
    POSITIVE LOGITS
     repercussions
    0.96
     impending
    0.92
     imminent
    0.90
     potential
    0.86
     contag
    0.85
     fallout
    0.83
     ramifications
    0.83
     privacy
    0.82
     dangers
    0.81
     inadequ
    0.81
    Activations Density 0.156%

    No Known Activations