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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. 3-RES-JB
    11. 16560
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    Explanations

    mentions of the acronym "ICE" at varying levels of importance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "ICE" or its variations, likely referring to the Immigration and Customs Enforcement agency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    angers
    -0.90
    stable
    -0.87
    orship
    -0.87
    gradient
    -0.80
    andals
    -0.80
    icals
    -0.76
    merce
    -0.75
    versions
    -0.75
    href
    -0.75
    css
    -0.74
    POSITIVE LOGITS
    ICE
    1.14
    lli
    0.82
    IVERS
    0.78
    BOX
    0.78
    ABLE
    0.78
    REAM
    0.78
    TY
    0.77
    IL
    0.75
    PLAY
    0.75
    llo
    0.72
    Activations Density 0.004%

    No Known Activations