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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. 6-RES-JB
    11. 7641
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    Explanations

    colors

    oai_token-act-pair · gpt-3.5-turbo

    references to colors and their associations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igious
    -0.75
    ealous
    -0.72
    bably
    -0.68
    ologically
    -0.67
    atican
    -0.67
    urdue
    -0.65
    ItemTracker
    -0.65
    utenberg
    -0.65
    izarre
    -0.64
    Internal
    -0.64
    POSITIVE LOGITS
     flakes
    0.85
     Iris
    0.77
     stripes
    0.76
    oxide
    0.72
    ovych
    0.71
    ioxide
    0.71
     striped
    0.71
     Ultr
    0.69
    cloth
    0.69
    stadt
    0.69
    Activations Density 0.249%

    No Known Activations