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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. 11-RES-JB
    11. 13473
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    Explanations

    phrases indicating encouragement or support to take action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the concept of "going for" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    Craft
    -0.69
    FH
    -0.68
    ashtra
    -0.68
    Force
    -0.67
    Due
    -0.64
    CLE
    -0.63
    ordinary
    -0.62
    Post
    -0.62
    Staff
    -0.60
    \'
    -0.59
    POSITIVE LOGITS
     awhile
    0.95
    ties
    0.88
    WARD
    0.86
     heights
    0.86
    gery
    0.83
    ked
    0.81
    geries
    0.79
     jug
    0.78
    aging
    0.77
     gre
    0.74
    Activations Density 0.087%

    No Known Activations