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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. 4-RES-JB
    11. 6414
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    Explanations

    mentions of plant and animal names

    oai_token-act-pair · gpt-3.5-turbo

    references to marine life and specific animal names

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

    No Comments

    Negative Logits
    LER
    -0.83
    HM
    -0.80
    NER
    -0.75
    LIB
    -0.74
    Beer
    -0.71
    ebin
    -0.71
    UGE
    -0.70
    TI
    -0.70
    UID
    -0.69
    HAHAHAHA
    -0.69
    POSITIVE LOGITS
     reefs
    1.40
     reef
    1.19
     coral
    1.00
    fish
    0.98
     Reef
    0.85
    odon
    0.83
     Coral
    0.82
     dioxide
    0.81
    bone
    0.80
     crabs
    0.79
    Activations Density 0.010%

    No Known Activations