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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. 5156
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    Explanations

    phrases indicating the beginning or location of something

    oai_token-act-pair · gpt-3.5-turbo

    the word "Where" indicating questions about locations or inquiries regarding places

    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
     roller
    -0.71
    apt
    -0.63
     franc
    -0.63
     secretion
    -0.63
    ³³³³³³³³
    -0.61
    )].
    -0.61
    ryu
    -0.59
     squeeze
    -0.59
    asted
    -0.58
     digest
    -0.57
    POSITIVE LOGITS
    abouts
    1.47
    upon
    1.41
    fore
    1.39
    ver
    1.21
    soever
    1.09
    Dat
    0.78
    with
    0.77
    icularly
    0.77
     else
    0.77
    acan
    0.74
    Activations Density 0.050%

    No Known Activations