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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. 6915
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    Explanations

    phrases related to geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    repeated sequences of syllables or phonetic patterns

    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
    lers
    -0.94
    lings
    -0.90
    leness
    -0.83
    liness
    -0.81
    lich
    -0.78
    rants
    -0.77
    mare
    -0.76
    manship
    -0.76
    rough
    -0.75
    len
    -0.75
    POSITIVE LOGITS
    uthor
    1.10
    iffe
    1.00
    usk
    0.94
     Haram
    0.90
    BILITY
    0.86
    BILITIES
    0.86
    ength
    0.86
    ution
    0.84
     fide
    0.83
    velength
    0.82
    Activations Density 0.110%

    No Known Activations