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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. 5180
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    INDEX
    Explanations

    percentages or rates of change in data

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" and its relation to various statistics or rates

    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
    rang
    -0.65
    LOG
    -0.65
     ens
    -0.63
    ItemTracker
    -0.61
    edly
    -0.61
    killed
    -0.60
    HAEL
    -0.60
    username
    -0.59
     nurt
    -0.59
    NOW
    -0.58
    POSITIVE LOGITS
     conjunction
    1.10
    ordinate
    1.10
     accordance
    1.09
    clusively
    1.09
     unison
    1.08
    efficiency
    1.08
    animate
    1.05
    clusions
    1.03
     relation
    1.03
    versions
    1.03
    Activations Density 0.317%

    No Known Activations