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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. 3-RES-JB
    11. 7300
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    Explanations

    words related to tragic events

    oai_token-act-pair · gpt-3.5-turbo

    references to tragic events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aton
    -0.85
    orney
    -0.79
    igree
    -0.77
    venants
    -0.74
    ipher
    -0.74
    gemony
    -0.72
    yi
    -0.72
    amaru
    -0.72
    lav
    -0.72
    glomer
    -0.71
    POSITIVE LOGITS
     tragedy
    0.84
     tragedies
    0.81
     involving
    0.80
     spree
    0.79
     Royale
    0.78
     plag
    0.78
     perpetrated
    0.77
     Hugo
    0.77
     traged
    0.76
     unfolding
    0.75
    Activations Density 0.011%

    No Known Activations