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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. 24458
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    oai_token-act-pair · gpt-3.5-turbo

    the word "the" in various contexts

    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
     namely
    -0.69
    umbing
    -0.65
    rand
    -0.65
    zai
    -0.65
     suppose
    -0.65
    tumblr
    -0.63
    UI
    -0.63
    worn
    -0.63
    ventus
    -0.63
    Panel
    -0.61
    POSITIVE LOGITS
     entire
    1.22
     same
    1.19
     entirety
    1.19
     remainder
    1.15
    ses
    1.10
     slightest
    1.09
     fullest
    1.02
     requisite
    1.00
     whole
    0.98
     rest
    0.97
    Activations Density 0.573%

    No Known Activations