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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. 1-RES-JB
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    Explanations

    names of locations, particularly focusing on specific places like Samar and individuals like Yadav

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the location "Samar" and related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RAFT
    -1.14
    draft
    -0.82
    ered
    -0.80
    spring
    -0.78
    2200
    -0.77
    ships
    -0.77
    ship
    -0.72
    orset
    -0.72
    1027
    -0.72
    ORN
    -0.71
    POSITIVE LOGITS
     Samar
    1.24
    itans
    1.04
    itan
    0.95
     glim
    0.79
     gobl
    0.79
    eness
    0.77
    pling
    0.77
     mosqu
    0.73
    ©¶æ
    0.72
    agi
    0.71
    Activations Density 0.007%

    No Known Activations