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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. 7-RES-JB
    11. 18946
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    Explanations

    mentions of specific chambers of commerce

    oai_token-act-pair · gpt-3.5-turbo

    references to various chambers of commerce

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wass
    -0.70
    ces
    -0.64
     curfew
    -0.62
     Fields
    -0.57
    visors
    -0.57
     IMAGES
    -0.56
     streaks
    -0.55
     Uri
    -0.55
     Hitler
    -0.55
     Mutant
    -0.54
    POSITIVE LOGITS
    lain
    1.50
    maid
    1.06
    house
    0.89
     chambers
    0.87
     chamber
    0.83
    door
    0.81
    itone
    0.81
     Chamber
    0.78
    ophon
    0.76
    rified
    0.74
    Activations Density 0.022%

    No Known Activations