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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. 6-RES-JB
    11. 20478
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    Explanations

    instances related to mold

    oai_token-act-pair · gpt-3.5-turbo

    references to mold and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WTO
    -0.77
    vernment
    -0.72
    avez
    -0.68
    IGHTS
    -0.67
    ZE
    -0.66
    ãĤ¿
    -0.65
    ythm
    -0.64
     derog
    -0.64
    ights
    -0.63
    aez
    -0.62
    POSITIVE LOGITS
    ering
    1.00
     mold
    0.95
     mould
    0.95
    ovan
    0.95
    ing
    0.87
    ered
    0.86
    eer
    0.86
    eus
    0.83
    lings
    0.81
    eers
    0.80
    Activations Density 0.036%

    No Known Activations