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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. 2342
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    Explanations

    positive attributes and qualities

    oai_token-act-pair · gpt-3.5-turbo

    adjectives describing positive or negative qualities of actions, situations, or characters

    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
    weeney
    -0.76
    ModLoader
    -0.75
     or
    -0.71
    and
    -0.66
    antically
    -0.64
    andra
    -0.64
     AND
    -0.62
    swick
    -0.62
     and
    -0.61
    staking
    -0.61
    POSITIVE LOGITS
     alike
    1.51
     respectively
    0.91
     ways
    0.72
     manner
    0.71
    depending
    0.69
     depending
    0.66
     sounding
    0.64
     forms
    0.60
     processes
    0.60
    ly
    0.59
    Activations Density 0.297%

    No Known Activations