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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. 4-RES-JB
    11. 14636
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    Explanations

    phrases related to specific entities or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    the article "the" across various contexts

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

    No Comments

    Negative Logits
    thood
    -0.70
    iffe
    -0.70
    leeve
    -0.67
    aba
    -0.64
    ivably
    -0.63
     Gerard
    -0.62
    anye
    -0.60
    /
    -0.58
    beam
    -0.57
    afe
    -0.57
    POSITIVE LOGITS
    ses
    1.26
     entire
    1.09
     fastest
    1.09
     same
    1.08
     quickest
    1.05
     longest
    1.02
     slightest
    1.02
     smallest
    0.99
     entirety
    0.98
     hardest
    0.98
    Activations Density 0.669%

    No Known Activations