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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. 9-RES-JB
    11. 3040
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    INDEX
    Explanations

    verbal expressions of intent or purpose

    oai_token-act-pair · gpt-3.5-turbo

    actions related to objectives or intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Plus
    -0.71
     Latest
    -0.68
    Stars
    -0.64
    Guard
    -0.63
    Tonight
    -0.63
    yes
    -0.62
    ----------------
    -0.61
    quad
    -0.60
    dating
    -0.59
    abouts
    -0.58
    POSITIVE LOGITS
     awareness
    0.91
    uate
    0.83
     morale
    0.81
     oneself
    0.80
    imize
    0.78
     perceptions
    0.72
     existing
    0.70
     whoever
    0.69
    atform
    0.68
     people
    0.68
    Activations Density 0.399%

    No Known Activations