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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. 2-RES-JB
    11. 19036
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    INDEX
    Explanations

    phrases indicating a comparison or evaluation of situations or qualities

    oai_token-act-pair · gpt-3.5-turbo

    expressions of perception or appearance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.75
    estern
    -0.71
    oting
    -0.70
    venge
    -0.69
    orthern
    -0.69
    pora
    -0.68
    pour
    -0.67
    iding
    -0.67
    utenberg
    -0.67
    cum
    -0.67
    POSITIVE LOGITS
    INGS
    0.91
    rils
    0.90
    Magikarp
    0.87
    lihood
    0.78
    ings
    0.73
    ãĤ¨
    0.72
    entially
    0.71
    Wheel
    0.70
    rences
    0.70
    ãĤ§
    0.69
    Activations Density 0.025%

    No Known Activations