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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. 4-RES-JB
    11. 2745
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    Explanations

    adverbs that describe the level of proficiency or effectiveness of something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "well" and its variations, indicating assessments of performance or quality

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

    No Comments

    Negative Logits
    rush
    -0.79
    adena
    -0.72
    hyde
    -0.69
    ilion
    -0.67
    laus
    -0.66
    mitting
    -0.65
    illary
    -0.64
    anos
    -0.64
    shaw
    -0.64
    pez
    -0.63
    POSITIVE LOGITS
     suited
    0.89
     behaved
    0.87
    ards
    0.78
    enough
    0.76
    Known
    0.76
    Initialized
    0.71
     liked
    0.71
     acquainted
    0.69
    ector
    0.67
     endowed
    0.67
    Activations Density 0.037%

    No Known Activations