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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. 9-RES-JB
    11. 17108
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    Explanations

    hyperlinked content, perhaps as used in digital communication or web content

    oai_token-act-pair · gpt-3.5-turbo

    negations or expressions of refusal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.76
    illary
    -0.69
     Franch
    -0.66
     mainland
    -0.66
    ilst
    -0.64
     Annotations
    -0.63
    imon
    -0.62
     Nau
    -0.61
    anwhile
    -0.60
    è£ħ
    -0.60
    POSITIVE LOGITS
    ¡
    1.07
    Ŀ
    1.04
    ľ
    0.97
    baugh
    0.95
    °
    0.89
    ¼
    0.85
    ¦
    0.83
    Ń
    0.82
    ¿
    0.82
    Pg
    0.81
    Activations Density 0.255%

    No Known Activations