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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. 4-RES-JB
    11. 13657
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    Explanations

    words related to personal attitude or style

    oai_token-act-pair · gpt-3.5-turbo

    words associated with food or eating

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

    Negative Logits
     Strait
    -0.91
    VI
    -0.70
     Divinity
    -0.68
    iss
    -0.65
    ire
    -0.63
    uez
    -0.63
    anus
    -0.61
    ISS
    -0.61
     Lumpur
    -0.60
    OV
    -0.60
    POSITIVE LOGITS
    glers
    0.93
    ulators
    0.77
    ulence
    0.76
     extraord
    0.75
     tune
    0.74
     haircut
    0.74
    busters
    0.68
     crap
    0.67
     blah
    0.67
     mascot
    0.66
    Activations Density 0.109%

    No Known Activations