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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 4420
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    Explanations

    objects or entities that can be identified, collected, traded, or donated

    oai_token-act-pair · gpt-3.5-turbo

    references to items in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iversity
    -0.77
     rhythms
    -0.69
    stretched
    -0.68
     valleys
    -0.68
    govern
    -0.68
    adia
    -0.65
    alus
    -0.65
     jails
    -0.64
    cia
    -0.64
     Valhalla
    -0.63
    POSITIVE LOGITS
     item
    3.63
    item
    2.39
     Item
    2.33
     items
    2.31
    Item
    2.16
     Items
    1.99
    items
    1.77
    Items
    1.73
     artifact
    1.37
     object
    1.32
    Activations Density 0.015%

    No Known Activations