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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. 12513
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    Explanations

    references to the location "Princeton University"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Princeton University

    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
    hold
    -0.87
    STON
    -0.85
    burn
    -0.79
    thening
    -0.76
    orders
    -0.72
    IFT
    -0.70
    inventory
    -0.68
    ffect
    -0.66
    fell
    -0.66
    height
    -0.65
    POSITIVE LOGITS
    itri
    1.00
    itous
    0.86
    opher
    0.83
    ificate
    0.81
    IFIED
    0.79
    ervative
    0.76
    ified
    0.74
    ãĥ¼ãĥĨãĤ£
    0.71
     Clown
    0.70
     Guardiola
    0.70
    Activations Density 0.033%

    No Known Activations