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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. 8-RES-JB
    11. 2615
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    Explanations

    proper nouns related to a specific entity or concept

    oai_token-act-pair · gpt-3.5-turbo

    the mention of a specific term related to a cultural or social concept

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     almonds
    -0.71
     withholding
    -0.66
    terday
    -0.63
    IVES
    -0.61
    meal
    -0.61
     behold
    -0.61
     Highlander
    -0.61
    ¿½
    -0.60
     preferential
    -0.60
     braces
    -0.60
    POSITIVE LOGITS
    ultane
    1.60
    psons
    1.36
    iliar
    1.36
    ulators
    1.34
    ulations
    1.32
    ply
    1.26
    pler
    1.25
    ulator
    1.22
    pson
    1.21
    ulation
    1.19
    Activations Density 0.034%

    No Known Activations