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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. 11-RES-JB
    11. 24027
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    Explanations

    the word "one" followed by various contexts or qualifiers

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "one" indicating a singular focus or distinction in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -1.00
    bots
    -0.80
    rations
    -0.79
    etz
    -0.78
    assetsadobe
    -0.76
    endars
    -0.76
    umers
    -0.75
    uts
    -0.73
    undreds
    -0.73
    Ñı
    -0.72
    POSITIVE LOGITS
     thing
    1.37
     glaring
    1.18
     overriding
    1.12
     overarching
    1.12
     salient
    1.11
     caveat
    1.10
     undeniable
    1.08
     pecul
    1.03
     exception
    0.98
     crucial
    0.97
    Activations Density 0.101%

    No Known Activations