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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. 7-RES-JB
    11. 15662
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    Explanations

    phrases or sentences describing complexity or difficulty

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to complex situations or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vation
    -0.83
    uin
    -0.82
    emp
    -0.81
    eele
    -0.76
    entin
    -0.75
    vertising
    -0.74
    inth
    -0.73
    ablishment
    -0.73
    apons
    -0.72
    sburg
    -0.70
    POSITIVE LOGITS
     complicated
    0.87
     complicate
    0.86
     convoluted
    0.84
     matters
    0.77
     baff
    0.71
     solved
    0.70
     unnecess
    0.69
     nuances
    0.69
     calculus
    0.69
     Mysteries
    0.68
    Activations Density 0.058%

    No Known Activations