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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. 2598
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    Explanations

    specific details and reports within text

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

    mentions of significant events or actions related to media or documentation

    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
     RELEASE
    -0.71
     IMAGES
    -0.70
    ++++++++++++++++
    -0.68
     Thumbnails
    -0.67
     Submit
    -0.67
    ertain
    -0.66
    mble
    -0.66
     Presence
    -0.65
     Apply
    -0.65
     DRAG
    -0.65
    POSITIVE LOGITS
     suggesting
    0.85
     of
    0.85
     identifying
    0.81
     alleging
    0.80
     concluding
    0.80
     indicating
    0.80
     showing
    0.79
     linking
    0.79
     dismissing
    0.77
     celebrating
    0.76
    Activations Density 0.589%

    No Known Activations