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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    instances of the word "hold" in a text

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "hold" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olan
    -0.62
     bombing
    -0.61
    icycle
    -0.61
     Doctors
    -0.61
    xxxxxxxx
    -0.61
     Daylight
    -0.61
     solitary
    -0.60
     bullet
    -0.60
     Directive
    -0.59
     bombings
    -0.59
    POSITIVE LOGITS
    hold
    1.57
    held
    1.00
    scl
    0.98
    holding
    0.98
    sworth
    0.92
    ings
    0.92
    erness
    0.89
    terness
    0.87
    Hold
    0.83
    holders
    0.83
    Activations Density 0.010%

    No Known Activations