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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. 11-RES-JB
    11. 12368
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    Explanations

    phrases suggesting a deeper investigation or analysis

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicative of exploration and analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    amaru
    -0.72
    taboola
    -0.68
    gered
    -0.63
    emale
    -0.63
    ificantly
    -0.61
    ificant
    -0.60
    orie
    -0.58
    attled
    -0.57
    owler
    -0.57
    allo
    -0.56
    POSITIVE LOGITS
    Firstly
    1.15
     ourselves
    1.12
    !:
    0.97
    .:
    0.89
     Firstly
    0.85
    First
    0.83
     ðŁĻĤ
    0.82
    !
    0.82
    .):
    0.81
    *:
    0.80
    Activations Density 0.353%

    No Known Activations