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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. 12-RES-JB
    11. 3230
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    Explanations

    words related to personal anecdotes and experiences

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    expressions of personal experiences or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osion
    -0.61
     Norfolk
    -0.60
     flourish
    -0.51
     Dickinson
    -0.51
     Franks
    -0.51
     Crus
    -0.51
     Dragonbound
    -0.50
     Sussex
    -0.50
     Chromebook
    -0.50
     Crusader
    -0.49
    POSITIVE LOGITS
    âĢ
    1.06
     been
    0.97
    been
    0.90
     seen
    0.89
    ighed
    0.89
     gotten
    0.86
     Been
    0.84
    ãĥ¼ãĥ
    0.84
     got
    0.83
     listened
    0.81
    Activations Density 0.061%

    No Known Activations