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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21780
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "was"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arta
    -0.80
    Footnote
    -0.69
     Statements
    -0.64
     Plenty
    -0.62
    feel
    -0.61
     Millions
    -0.60
     HAVE
    -0.60
     Fighters
    -0.59
     Mountains
    -0.58
    arms
    -0.58
    POSITIVE LOGITS
     originally
    1.45
     conceived
    1.33
     initially
    1.19
     designed
    1.16
     discovered
    1.15
     born
    1.13
     created
    1.11
     awarded
    1.11
     devised
    1.11
     introduced
    1.10
    Activations Density 0.302%

    No Known Activations