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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. 14380
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    Explanations

    phrases that are widely recognized or acknowledged

    oai_token-act-pair · gpt-3.5-turbo

    the term "widely" and its variations in context

    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
    cair
    -0.84
     Bagg
    -0.80
    ourke
    -0.77
     Keeper
    -0.72
     Crew
    -0.67
    ð
    -0.66
     Ventura
    -0.66
     Odyssey
    -0.65
    ters
    -0.65
    ÄŁ
    -0.65
    POSITIVE LOGITS
     dispersed
    0.91
     spaced
    0.91
     distributed
    0.91
     regarded
    0.90
    spread
    0.86
    atform
    0.83
     publicized
    0.81
    entimes
    0.81
     dissemin
    0.79
     spread
    0.79
    Activations Density 0.014%

    No Known Activations