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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. 10-RES-JB
    11. 21533
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    Explanations

    phrases related to cause and effect

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a change or comparison in states or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gets
    -0.50
    omo
    -0.46
     theirs
    -0.43
    NOR
    -0.42
    vision
    -0.42
     Conversation
    -0.41
    :#
    -0.41
    fram
    -0.41
    foreseen
    -0.41
    robe
    -0.41
    POSITIVE LOGITS
     of
    1.12
     thereof
    0.97
     OF
    0.88
    Of
    0.82
     Of
    0.82
    of
    0.82
    luster
    0.76
    OF
    0.76
    ta
    0.61
    ptin
    0.56
    Activations Density 0.624%

    No Known Activations