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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. 3-RES-JB
    11. 24333
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    Explanations

    phrases related to exploration, particularly in the context of oil, space, and research

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of exploration across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pered
    -0.79
    inki
    -0.76
    reditary
    -0.72
    pron
    -0.71
    corn
    -0.71
    ivari
    -0.70
    headers
    -0.69
    iah
    -0.66
    cert
    -0.66
    invoke
    -0.65
    POSITIVE LOGITS
     exploration
    1.11
    ngth
    0.89
    ĸļ
    0.82
     Rover
    0.79
     Exploration
    0.79
     explorer
    0.78
     Explorer
    0.77
     exploring
    0.77
     Pione
    0.74
    itaire
    0.70
    Activations Density 0.014%

    No Known Activations