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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 2601
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    INDEX
    Explanations

    phrases related to choices or decision-making

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

    references to decision-making and options

    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
    issance
    -0.78
    DEF
    -0.76
    steen
    -0.73
    ãĥ¼ãĥĨãĤ£
    -0.72
    Naz
    -0.70
    cia
    -0.69
    brance
    -0.69
    UES
    -0.68
    KC
    -0.68
    peria
    -0.67
    POSITIVE LOGITS
     between
    1.15
     choices
    0.88
     choice
    0.85
     among
    0.81
    axe
    0.80
     theorist
    0.79
     haun
    0.74
     wisely
    0.73
     laure
    0.73
     criterion
    0.73
    Activations Density 0.051%

    No Known Activations