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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. 6-RES-JB
    11. 15452
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    Explanations

    phrases related to giving instructions or directions, indicating something to be done or achieved

    oai_token-act-pair · gpt-3.5-turbo

    questions pertaining to neuroscience and inquiry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.65
    Sov
    -0.55
    atown
    -0.54
    itol
    -0.53
     Bunker
    -0.52
     Rebell
    -0.51
    adle
    -0.50
     Sov
    -0.50
    Lago
    -0.49
     Frie
    -0.49
    POSITIVE LOGITS
     respective
    0.70
     informative
    0.63
     applicable
    0.63
     including
    0.63
     varying
    0.63
     backgrounds
    0.63
     ranging
    0.62
     formatting
    0.61
     descriptions
    0.61
     chronological
    0.61
    Activations Density 1.632%

    No Known Activations