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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. 14195
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    Explanations

    expressions of hope or optimism

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hope or anticipation for positive outcomes

    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
    liest
    -0.68
    inia
    -0.66
    ELF
    -0.66
    essential
    -0.63
    UFF
    -0.63
    intensive
    -0.62
    esp
    -0.60
    typically
    -0.60
    unless
    -0.60
    industrial
    -0.58
    POSITIVE LOGITS
     someday
    1.45
     somew
    1.01
     inspire
    0.91
     inspires
    0.90
     soon
    0.89
     enlight
    0.87
     convince
    0.84
     recons
    0.83
     convin
    0.82
     persuade
    0.81
    Activations Density 0.330%

    No Known Activations