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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. 10-RES-JB
    11. 5622
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    Explanations

    references to oceans and ocean-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the ocean

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    puff
    -0.67
    Reloaded
    -0.65
    Madison
    -0.65
    starter
    -0.63
    TI
    -0.63
    nesday
    -0.61
    minded
    -0.61
     Patton
    -0.60
    NER
    -0.60
    éĹ
    -0.60
    POSITIVE LOGITS
    ographic
    1.25
    ographer
    1.22
    front
    1.20
    ographers
    1.10
    ic
    1.08
     liner
    1.08
     basin
    1.06
    ography
    1.00
     Ocean
    0.97
    arium
    0.95
    Activations Density 0.029%

    No Known Activations