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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. 12998
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    Explanations

    phrases related to non-standard usage of language, such as slang or jargon

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of visual media and their contexts

    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
    soon
    -0.83
    another
    -0.82
    region
    -0.82
    oother
    -0.79
    ioxide
    -0.75
    then
    -0.75
    jab
    -0.74
    anson
    -0.74
    oleon
    -0.73
    wana
    -0.73
    POSITIVE LOGITS
     equivalents
    0.97
     dealings
    0.84
     adjustments
    0.80
     replacements
    0.79
     antics
    0.78
     solutions
    0.78
     basis
    0.77
     operations
    0.77
     inspections
    0.76
     inspection
    0.76
    Activations Density 0.197%

    No Known Activations