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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7
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    INDEX
    Explanations

    statements where someone is explaining or elaborating on a subject

    oai_token-act-pair · gpt-3.5-turbo

    phrases that start with "to" followed by a verb indicating an action or explanation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.86
     Compass
    -0.66
     Cube
    -0.66
    Dash
    -0.64
     Ended
    -0.64
     Crate
    -0.63
    orno
    -0.61
    inventory
    -0.61
    avorite
    -0.61
    Enlarge
    -0.61
    POSITIVE LOGITS
     dismantle
    0.88
     achieve
    0.84
     liberate
    0.80
     explore
    0.79
     establish
    0.76
    pless
    0.76
     erase
    0.76
    Reloaded
    0.76
     fulfill
    0.76
     elaborate
    0.75
    Activations Density 0.070%

    No Known Activations