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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. 9-RES-JB
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    Explanations

    references to department stores

    oai_token-act-pair · gpt-3.5-turbo

    references to department stores and organizational departments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    pak
    -0.74
    faced
    -0.65
    telling
    -0.63
    chers
    -0.62
     Predators
    -0.62
    lihood
    -0.61
    falls
    -0.61
     Pose
    -0.60
    isers
    -0.60
    otin
    -0.60
    POSITIVE LOGITS
    al
    1.12
    artment
    1.00
    ality
    0.97
    alities
    0.96
    artments
    0.96
    alse
    0.84
    istry
    0.83
    aries
    0.81
    wide
    0.80
     store
    0.80
    Activations Density 0.043%

    No Known Activations