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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. 19056
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    Explanations

    phrases related to criticism or disapproval

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating expectations or norms

    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
    hiba
    -0.66
    pez
    -0.64
     TAMADRA
    -0.64
    oided
    -0.62
     tantal
    -0.62
    YES
    -0.61
     generously
    -0.61
     WARN
    -0.59
     anonymously
    -0.58
    adder
    -0.58
    POSITIVE LOGITS
     anymore
    1.68
     nor
    1.45
     necessarily
    0.91
     slightest
    0.86
     anybody
    0.85
    nor
    0.85
     bother
    0.80
    yet
    0.79
     anything
    0.78
     bothered
    0.78
    Activations Density 0.348%

    No Known Activations