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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. 4-RES-JB
    11. 1732
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    INDEX
    Explanations

    mentions of news events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to significant occurrences or incidents

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

    No Comments

    Negative Logits
    zzi
    -0.80
    acked
    -0.74
    Äĩ
    -0.69
    geon
    -0.68
    aro
    -0.67
     Canal
    -0.67
    odor
    -0.67
    wall
    -0.66
    ictionary
    -0.66
    sis
    -0.66
    POSITIVE LOGITS
     events
    1.10
     transpired
    0.96
     unfolded
    0.94
     unfold
    0.92
    hips
    0.91
     unfolding
    0.88
     calendars
    0.82
     Events
    0.82
    uating
    0.81
    ourcing
    0.80
    Activations Density 0.021%

    No Known Activations