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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. 2791
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    INDEX
    Explanations

    instances of actions or events taking place

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of time and duration

    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
     Smile
    -0.73
    holm
    -0.73
     agre
    -0.68
     advertised
    -0.65
     david
    -0.63
    eman
    -0.60
    vine
    -0.60
    lib
    -0.58
    tx
    -0.58
    Cong
    -0.58
    POSITIVE LOGITS
    aways
    1.07
     precedence
    1.01
     advantage
    0.97
    overs
    0.87
     care
    0.86
     aback
    0.84
    arnaev
    0.84
     place
    0.83
    FINE
    0.80
     heed
    0.80
    Activations Density 0.078%

    No Known Activations