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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. 11-RES-JB
    11. 2284
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    Explanations

    complex words or terms related to various subjects, including medicine, technology, and entertainment

    oai_token-act-pair · gpt-3.5-turbo

    elements related to experimental or innovative concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chuk
    -0.50
     Nanto
    -0.49
    stra
    -0.49
    pedia
    -0.47
    nered
    -0.47
    ä¸Ń
    -0.44
    iverse
    -0.44
    ks
    -0.43
    ces
    -0.43
    isations
    -0.43
    POSITIVE LOGITS
    imens
    0.52
    gerald
    0.52
    opath
    0.50
    omorphic
    0.49
    ++)
    0.45
    omorph
    0.45
    aminer
    0.45
    ainment
    0.44
    ']
    0.42
     pathological
    0.42
    Activations Density 0.890%

    No Known Activations