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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. 2-RES-JB
    11. 14690
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    Explanations

    phrases that have a unique symbol character (e.g., âĢķ), suggesting a specific coding or encoding within a text

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or symbol repeated throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ysis
    -0.81
    idem
    -0.70
    osing
    -0.70
    odcast
    -0.69
    oys
    -0.66
    ythm
    -0.63
    eding
    -0.63
    ppings
    -0.63
    oit
    -0.62
    ogue
    -0.61
    POSITIVE LOGITS
    âĢķ
    1.48
     âĢķ
    1.24
    ––
    0.94
    ··
    0.85
    âĸº
    0.83
    ¯¯
    0.82
    {{
    0.79
     Cosponsors
    0.77
    SHIP
    0.77
    ——
    0.76
    Activations Density 0.006%

    No Known Activations