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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. 7-RES-JB
    11. 13598
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    Explanations

    phrases expressing a desire or intention to do something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of knowledge, desire, and need

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rontal
    -0.60
    chairs
    -0.59
     sho
    -0.59
    artisan
    -0.56
     bios
    -0.55
     trib
    -0.55
     misplaced
    -0.54
     brig
    -0.52
    zig
    -0.52
     moth
    -0.52
    POSITIVE LOGITS
    SPONSORED
    0.76
     illustrates
    0.70
     Learned
    0.69
     boils
    0.69
    aca
    0.68
     is
    0.68
     involves
    0.67
     differs
    0.66
    requires
    0.66
    Learning
    0.66
    Activations Density 0.243%

    No Known Activations