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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
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    Explanations

    references related to chambers of commerce

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Chamber" and related organizations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ces
    -0.64
     Wass
    -0.63
     Kard
    -0.62
     WARN
    -0.61
    resp
    -0.61
     Devi
    -0.60
     IMAGES
    -0.59
     Vaj
    -0.59
    jad
    -0.58
     IPCC
    -0.57
    POSITIVE LOGITS
     Chamber
    1.02
    house
    0.95
    lain
    0.93
    ophon
    0.85
    atism
    0.78
    zilla
    0.76
    dayName
    0.76
     Chambers
    0.74
    itone
    0.74
    anooga
    0.74
    Activations Density 0.004%

    No Known Activations