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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. 4-RES-JB
    11. 2836
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    Explanations

    phrases related to expectations

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of expectations

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

    No Comments

    Negative Logits
    packing
    -0.76
    mans
    -0.73
    ston
    -0.72
    leigh
    -0.69
    has
    -0.68
    stocks
    -0.68
    de
    -0.68
    ole
    -0.67
    lez
    -0.66
    cise
    -0.65
    POSITIVE LOGITS
     expectations
    1.05
     expectation
    0.84
    urity
    0.81
    ÃįÃį
    0.79
    omething
    0.71
    hovah
    0.71
    raints
    0.68
     bells
    0.66
     exch
    0.66
    achine
    0.65
    Activations Density 0.017%

    No Known Activations