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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. 18093
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    Explanations

    descriptions of actions or events in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to decision-making or proposals

    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
    20439
    -0.88
    CVE
    -0.75
     ®
    -0.69
    sg
    -0.63
    ente
    -0.61
     Possible
    -0.59
     POLITICO
    -0.58
    uve
    -0.58
    tarian
    -0.57
    ettel
    -0.57
    POSITIVE LOGITS
    rarily
    0.82
     furthermore
    0.81
     ONLY
    0.79
     EVERY
    0.77
    entimes
    0.72
     shockingly
    0.70
     lowly
    0.70
    anwhile
    0.69
     these
    0.68
     ignor
    0.68
    Activations Density 1.108%

    No Known Activations