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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. 8823
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    INDEX
    Explanations

    phrases indicating completion or past actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "been" and its variations, indicating past actions or states

    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
    Downloadha
    -0.77
    quickShipAvailable
    -0.73
     CST
    -0.69
    morning
    -0.65
    Ranked
    -0.62
    especially
    -0.60
    kai
    -0.60
    etheless
    -0.60
    Pacific
    -0.60
    awaru
    -0.59
    POSITIVE LOGITS
    gebra
    0.74
    ledged
    0.73
    ential
    0.72
    entials
    0.71
    usercontent
    0.67
     acknow
    0.66
    ailable
    0.65
    izable
    0.64
    nance
    0.64
    ancial
    0.63
    Activations Density 0.173%

    No Known Activations