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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. 9-RES-JB
    11. 16190
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    Explanations

    phrases related to making a significant impact or difference

    oai_token-act-pair · gpt-3.5-turbo

    terms related to performance and support in a competitive context

    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
    )",
    -0.68
     RI
    -0.67
     branch
    -0.67
     Straw
    -0.66
     Buddh
    -0.66
    MIT
    -0.65
     Buddhist
    -0.63
     apartheid
    -0.62
    ricia
    -0.62
     Nobel
    -0.61
    POSITIVE LOGITS
     offensively
    1.68
     defensively
    1.49
     athlet
    1.30
     offseason
    1.03
    Coach
    1.02
     midfield
    1.02
     scoring
    1.01
     Rookie
    1.00
     rookie
    0.99
     Defensive
    0.99
    Activations Density 0.516%

    No Known Activations