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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. 3-RES-JB
    11. 3061
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    INDEX
    Explanations

    phrases that indicate or express an observation or judgment about a situation or entity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating visual perceptions or appearances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kson
    -0.79
    iling
    -0.75
    oled
    -0.74
    ricular
    -0.73
    verend
    -0.72
    oning
    -0.72
    âĹ¼
    -0.69
    mental
    -0.67
    learning
    -0.65
    renheit
    -0.65
    POSITIVE LOGITS
    metics
    0.78
     suspic
    0.74
    ahead
    0.73
    ":"/
    0.71
    peed
    0.71
    ynthesis
    0.71
    ometimes
    0.70
    paces
    0.69
    afety
    0.68
     snipp
    0.66
    Activations Density 0.030%

    No Known Activations