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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. 3-RES-JB
    11. 215
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    INDEX
    Explanations

    personal desires or preferences based on the context of the sentence

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or preferences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shap
    -0.53
     Archer
    -0.49
     Eh
    -0.48
     Eb
    -0.47
     Highlights
    -0.47
     Hard
    -0.46
     Update
    -0.46
     Mechanics
    -0.46
     Arts
    -0.46
    agraph
    -0.46
    POSITIVE LOGITS
    liest
    0.51
     lawfully
    0.50
    strap
    0.50
     subdu
    0.49
     approaching
    0.49
     rehe
    0.48
     hitherto
    0.48
     actually
    0.48
     happiest
    0.48
     peacefully
    0.48
    Activations Density 1.416%

    No Known Activations