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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. 2936
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    Explanations

    statements related to experiences and perspectives that influence personal growth and decision-making

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

    references to specific numerical values or statistics in the context of assessments or evaluations

    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
     exting
    -1.40
     tremend
    -1.40
    aditional
    -1.37
    ò
    -1.32
     reluct
    -1.31
     tiss
    -1.29
    oreAnd
    -1.28
     destro
    -1.27
     practition
    -1.27
     exha
    -1.27
    POSITIVE LOGITS
    +)
    0.68
    .
    0.68
    )
    0.66
    a
    0.66
     Explicit
    0.63
    âĢ¦.
    0.61
    ————————
    0.60
    .)
    0.59
    th
    0.58
    ).
    0.58
    Activations Density 0.053%

    No Known Activations