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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. 3640
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    Explanations

    names of individuals or characters

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

    names of notable individuals and characters

    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
    scripts
    -0.59
     groundwork
    -0.58
    alyses
    -0.57
     inputs
    -0.55
     allowances
    -0.52
     enhances
    -0.52
     overlap
    -0.51
     topics
    -0.51
     include
    -0.51
     resolutions
    -0.50
    POSITIVE LOGITS
     whose
    0.96
     who
    0.94
     whom
    0.90
    EStream
    0.81
    .
    0.80
    $.
    0.79
     himself
    0.76
     aka
    0.75
    !.
    0.74
    *.
    0.73
    Activations Density 0.640%

    No Known Activations