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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. 18218
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    INDEX
    Explanations

    size-related descriptors

    oai_token-act-pair · gpt-3.5-turbo

    terms related to size specifications

    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
    freedom
    -0.82
    come
    -0.78
    Language
    -0.75
    sil
    -0.75
    prev
    -0.73
    definition
    -0.72
    gren
    -0.72
    sequence
    -0.72
    ev
    -0.71
    statement
    -0.71
    POSITIVE LOGITS
     sized
    3.47
     themed
    1.56
     styled
    1.42
     oriented
    1.39
     shaped
    1.37
     spaced
    1.34
     paced
    1.16
     priced
    1.16
     eyed
    1.13
     colored
    1.10
    Activations Density 0.029%

    No Known Activations