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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. 3-RES-JB
    11. 23546
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    INDEX
    Explanations

    densely packed or populated locations

    oai_token-act-pair · gpt-3.5-turbo

    references to density and sparsity in urban or habitat contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    skill
    -0.77
    porary
    -0.75
    psons
    -0.75
    uers
    -0.73
    OTO
    -0.73
    gob
    -0.72
    ift
    -0.70
    ocker
    -0.69
    */(
    -0.69
    VR
    -0.68
    POSITIVE LOGITS
     tracts
    0.94
     dense
    0.94
     enough
    0.85
    packed
    0.83
     fog
    0.83
     veget
    0.79
     bundles
    0.79
     jung
    0.79
    kson
    0.77
    mble
    0.76
    Activations Density 0.014%

    No Known Activations