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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. 7773
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    Explanations

    words related to structure and organization

    oai_token-act-pair · gpt-3.5-turbo

    words related to structure and construction

    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
    kins
    -0.79
     Yel
    -0.72
     Sonny
    -0.64
     Clarkson
    -0.63
    kin
    -0.61
    agascar
    -0.61
    cli
    -0.61
     Bryant
    -0.59
     Fallon
    -0.58
     Enrique
    -0.58
    POSITIVE LOGITS
    urally
    1.46
    ured
    1.27
    ural
    1.25
    uring
    1.17
    ures
    1.12
    urers
    0.99
    urer
    0.97
    ivist
    0.95
    uration
    0.94
    ible
    0.90
    Activations Density 0.046%

    No Known Activations