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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. 8-RES-JB
    11. 24110
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    INDEX
    Explanations

    positive affirmations and statements of belief

    oai_token-act-pair · gpt-3.5-turbo

    negations of the verb "to be" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     humanities
    -0.69
     Lancaster
    -0.61
     closest
    -0.61
     colonial
    -0.58
     Jiu
    -0.58
     Movies
    -0.58
     Kus
    -0.57
     losses
    -0.57
     circles
    -0.56
     Fuji
    -0.56
    POSITIVE LOGITS
    imately
    0.94
    ï¸ı
    0.87
    idate
    0.87
    ember
    0.84
    erate
    0.81
    tal
    0.79
    create
    0.79
    t
    0.78
    ude
    0.78
    eal
    0.76
    Activations Density 0.073%

    No Known Activations