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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. 7-RES-JB
    11. 23609
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    INDEX
    Explanations

    phrases related to making choices or decisions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "chose" or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brance
    -0.83
    uum
    -0.80
    ijk
    -0.73
    peria
    -0.71
    loo
    -0.71
    igi
    -0.71
    aura
    -0.67
    bley
    -0.66
    emic
    -0.66
    ptoms
    -0.65
    POSITIVE LOGITS
     wisely
    0.87
     chose
    0.82
     chosen
    0.81
     chooses
    0.79
    axe
    0.77
     choices
    0.77
     choose
    0.76
     choice
    0.76
     randomly
    0.71
     choosing
    0.70
    Activations Density 0.038%

    No Known Activations