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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. 5774
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    INDEX
    Explanations

    phrases indicating a specific moment or decision point

    oai_token-act-pair · gpt-3.5-turbo

    instances where a specific "point" in time is mentioned

    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
    emale
    -0.81
    eatures
    -0.75
    avorite
    -0.74
    ords
    -0.72
     notor
    -0.71
    aware
    -0.65
     pancakes
    -0.65
     carbohyd
    -0.64
     metabol
    -0.64
    uno
    -0.64
    POSITIVE LOGITS
    point
    1.12
    points
    0.98
     point
    0.79
     onwards
    0.75
    acle
    0.70
     Pascal
    0.69
    endment
    0.69
    pointers
    0.69
    ioned
    0.68
    upon
    0.68
    Activations Density 0.024%

    No Known Activations