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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. 7-RES-JB
    11. 23964
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    Explanations

    terms related to cause and effect or the results of actions

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to various types of effects and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pigeon
    -0.77
    mbuds
    -0.69
     Timber
    -0.68
     Alto
    -0.67
    mint
    -0.63
     Dud
    -0.62
    cin
    -0.62
     Patriarch
    -0.61
     Methodist
    -0.60
    antz
    -0.59
    POSITIVE LOGITS
    iveness
    1.27
    uated
    1.19
    ual
    1.15
    uating
    1.06
    ively
    1.05
    ually
    1.04
    uel
    1.01
    bringer
    1.00
    uation
    0.99
    uality
    0.98
    Activations Density 0.051%

    No Known Activations