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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of the word "mold"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "mold" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Samar
    -0.81
     Exit
    -0.69
     Yor
    -0.68
    ctrl
    -0.67
    rieve
    -0.66
    RR
    -0.65
     Zar
    -0.65
    trip
    -0.64
    trl
    -0.64
     Crossing
    -0.64
    POSITIVE LOGITS
     mold
    4.18
     mould
    3.66
     molded
    2.24
     Mold
    2.02
     sculpt
    1.28
     shaping
    1.14
     fungus
    1.13
     shape
    1.10
     clay
    1.09
     plaster
    1.04
    Activations Density 0.025%

    No Known Activations