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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. 24446
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    Explanations

    words associated with selection or being chosen

    oai_token-act-pair · gpt-3.5-turbo

    the term "chosen" in various contexts

    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
    igi
    -0.84
    Net
    -0.80
    TPS
    -0.78
    monds
    -0.73
    heric
    -0.72
    pat
    -0.67
    qv
    -0.67
    emic
    -0.67
    vacc
    -0.66
    struct
    -0.66
    POSITIVE LOGITS
     chosen
    0.84
     randomly
    0.81
    lists
    0.79
    axe
    0.73
     selection
    0.69
     chooses
    0.69
    picked
    0.69
     choice
    0.68
     Selection
    0.67
     chose
    0.65
    Activations Density 0.013%

    No Known Activations