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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. 4-RES-JB
    11. 24027
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    INDEX
    Explanations

    the word "choice" with a high level of activation

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to making choices or decisions

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

    No Comments

    Negative Logits
    uum
    -0.91
    awar
    -0.83
    uman
    -0.75
    ahan
    -0.74
    estones
    -0.74
    velop
    -0.71
    brance
    -0.71
    vae
    -0.71
    peria
    -0.71
    steen
    -0.70
    POSITIVE LOGITS
     choices
    1.11
     choice
    1.06
    axe
    0.87
     Altern
    0.84
     options
    0.83
     chose
    0.79
    éĹĺ
    0.79
    choice
    0.77
     ACTIONS
    0.77
     Choice
    0.77
    Activations Density 0.028%

    No Known Activations