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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. 10-RES-JB
    11. 11286
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    Explanations

    code snippets and string formatting patterns

    oai_token-act-pair · gpt-3.5-turbo

    elements related to programming code and data formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ividual
    -0.92
    ammy
    -0.89
    ndra
    -0.79
    ulla
    -0.75
     synerg
    -0.71
    osures
    -0.71
    lees
    -0.70
    rollers
    -0.69
    gdala
    -0.69
    agonist
    -0.68
    POSITIVE LOGITS
    UTF
    1.51
     UTF
    1.35
    utf
    1.26
     Unicode
    1.18
    ISO
    1.16
     ASCII
    1.06
    ASC
    0.93
     encoding
    0.93
     chars
    0.90
    çīĪ
    0.88
    Activations Density 0.103%

    No Known Activations