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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. 8-RES-JB
    11. 24031
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    Explanations

    phrases related to taking action or making a decision

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "get" in various contexts indicative of action or engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Archdemon
    -0.61
    cean
    -0.60
     Gardens
    -0.58
     decline
    -0.57
     Lies
    -0.56
    vale
    -0.56
    cone
    -0.55
    velt
    -0.55
     triumph
    -0.54
    SPONSORED
    -0.54
    POSITIVE LOGITS
     rid
    1.46
     acquainted
    1.10
    tin
    1.04
    bent
    0.94
     married
    0.93
     underway
    0.89
     sucked
    0.86
    cloneembedreportprint
    0.85
     distracted
    0.84
     bored
    0.82
    Activations Density 0.108%

    No Known Activations