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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. 2-RES-JB
    11. 12080
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    Explanations

    references to seating arrangements or locations in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to seating arrangements and variations in seating capacity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GH
    -0.80
    WARD
    -0.78
    udic
    -0.76
    keeper
    -0.76
    Sharp
    -0.76
    otom
    -0.70
    cean
    -0.69
    weed
    -0.68
    obiles
    -0.67
    oca
    -0.67
    POSITIVE LOGITS
    iating
    0.89
    iated
    0.84
    iations
    0.77
    ially
    0.74
     wills
    0.74
    iates
    0.72
     Ao
    0.72
    iation
    0.70
     sclerosis
    0.70
     variance
    0.69
    Activations Density 0.022%

    No Known Activations