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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. 12-RES-JB
    11. 3806
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    INDEX
    Explanations

    mentions of specific sample sizes in a statistical context

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to sample sizes or discussions about samples in research contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    ledged
    -0.78
    swick
    -0.76
    lesiastical
    -0.73
    vernment
    -0.66
    der
    -0.66
    standing
    -0.66
    iris
    -0.64
    dar
    -0.63
     marqu
    -0.63
    ccoli
    -0.63
    POSITIVE LOGITS
     sizes
    1.11
     size
    1.08
     thereof
    0.86
     taken
    0.86
     collected
    0.82
     Size
    0.80
     drawn
    0.75
     sized
    0.75
     collection
    0.73
    meal
    0.69
    Activations Density 0.076%

    No Known Activations