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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. 1-RES-JB
    6. 4753
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    INDEX
    Explanations

    objects or things mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "object" in various contexts

    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
     millenn
    -0.90
    ould
    -0.66
    cling
    -0.65
     Sussex
    -0.64
    ooks
    -0.64
     sanity
    -0.64
    artney
    -0.64
     Marin
    -0.63
     Hampton
    -0.62
    rosso
    -0.62
    POSITIVE LOGITS
    handler
    0.93
    object
    0.88
     object
    0.88
     objects
    0.82
    objects
    0.81
    ifier
    0.79
    ivity
    0.79
    imus
    0.78
     Object
    0.76
     Clicker
    0.74
    Activations Density 0.013%

    No Known Activations