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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. 10944
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    Explanations

    the word "extraordinary" and similar impactful terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "extraordinary" and related contexts

    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
    ©¶æ
    -0.98
    hr
    -0.80
    gage
    -0.77
    hn
    -0.77
    rio
    -0.77
    worn
    -0.75
    nan
    -0.75
    hm
    -0.73
    iard
    -0.70
    ËĪ
    -0.69
    POSITIVE LOGITS
    ordinary
    1.05
     rendition
    1.02
     coincidence
    0.92
     lengths
    0.86
     heroism
    0.86
     feats
    0.84
    ional
    0.82
     extraordinary
    0.82
     Measures
    0.80
     revelations
    0.79
    Activations Density 0.026%

    No Known Activations