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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. 2861
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to immigration policy and legal actions

    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
    bread
    -0.74
    face
    -0.67
    obin
    -0.64
    reader
    -0.63
    xton
    -0.63
    overs
    -0.62
    node
    -0.62
    heads
    -0.62
    Deb
    -0.62
     Chow
    -0.61
    POSITIVE LOGITS
    CLASSIFIED
    0.96
    pmwiki
    0.89
     Flavoring
    0.83
    terday
    0.82
    gomery
    0.75
     sidx
    0.74
    )\
    0.73
    zed
    0.73
    thritis
    0.71
    --+
    0.71
    Activations Density 0.055%

    No Known Activations