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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. 12398
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    Explanations

    phrases related to macronutrients

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "mac" or related terms

    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
    IGH
    -0.86
    GGGG
    -0.79
    REDACTED
    -0.72
     Directorate
    -0.71
     Gundam
    -0.69
     Odin
    -0.69
    ãĤ¼
    -0.67
     Glas
    -0.67
    Reviewer
    -0.66
     Arc
    -0.66
    POSITIVE LOGITS
    intosh
    1.37
    abre
    1.21
    riots
    1.05
    oleon
    0.98
    aques
    0.98
    pher
    0.95
    oreal
    0.94
    ocular
    0.94
    aron
    0.93
    arest
    0.91
    Activations Density 0.007%

    No Known Activations