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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. 9-RES-JB
    11. 22819
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    Explanations

    phrases related to selection or choosing

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to selection or choosing something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hibition
    -0.75
    aura
    -0.72
    struct
    -0.71
    TPS
    -0.67
    doors
    -0.67
    osaurs
    -0.66
    Jam
    -0.65
    auer
    -0.63
    WARN
    -0.62
    alone
    -0.62
    POSITIVE LOGITS
     randomly
    1.10
     chosen
    0.92
     finalists
    0.89
     arbitrarily
    0.87
    selection
    0.86
    selected
    0.84
     wisely
    0.84
    picked
    0.83
     selected
    0.81
     selection
    0.78
    Activations Density 0.048%

    No Known Activations