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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. 10189
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    INDEX
    Explanations

    phrases containing the word "bled."

    oai_token-act-pair · gpt-3.5-turbo

    words related to disruption or confusion

    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
    rators
    -0.76
    ellar
    -0.67
    ammad
    -0.65
    arians
    -0.65
    ä¿
    -0.65
     ultraviolet
    -0.60
    oras
    -0.59
    OSP
    -0.59
    NUM
    -0.59
    ä½ľ
    -0.58
    POSITIVE LOGITS
    bles
    1.33
    bling
    1.15
    bled
    1.12
    hower
    0.94
    phrine
    0.93
    theless
    0.91
    ble
    0.90
    hooting
    0.90
    bly
    0.89
    peak
    0.88
    Activations Density 0.021%

    No Known Activations