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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. 5-RES-JB
    6. 17584
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    INDEX
    Explanations

    references to things or concepts being familiar or recognizable

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating recognition or familiarity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adal
    -0.68
    atown
    -0.68
    hers
    -0.67
    wings
    -0.66
    ritional
    -0.66
    mental
    -0.64
     reins
    -0.64
    onding
    -0.64
    ascript
    -0.63
    Display
    -0.63
    POSITIVE LOGITS
     sounding
    0.86
     alarms
    0.83
     bells
    0.77
     drums
    0.73
     Echo
    0.67
    sounding
    0.67
     Morse
    0.66
     trumpet
    0.66
    wegian
    0.66
     aloud
    0.66
    Activations Density 0.087%

    No Known Activations