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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. 7989
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    Explanations

    phrases indicating competition or conflict

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating competition or conflict, particularly with the word "for."

    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
    ohn
    -0.89
    vale
    -0.74
    itent
    -0.66
    soType
    -0.65
    Army
    -0.65
    çīĪ
    -0.63
    umbai
    -0.63
    Pen
    -0.61
    ombs
    -0.61
    panic
    -0.60
    POSITIVE LOGITS
    gotten
    1.10
     supremacy
    1.07
     scraps
    1.02
    emonic
    0.83
     survival
    0.78
     dominance
    0.78
    ces
    0.76
    bidden
    0.74
    ift
    0.73
    apixel
    0.72
    Activations Density 0.105%

    No Known Activations