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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. 9-RES-JB
    11. 1628
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    INDEX
    Explanations

    the presence of specific items or conditions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "present" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    axter
    -0.62
    robe
    -0.59
    iscopal
    -0.58
    ilings
    -0.58
     partName
    -0.58
    OME
    -0.57
    hiba
    -0.57
     RUN
    -0.57
    \\\\\\\\\\\\\\\\
    -0.57
    affle
    -0.57
    POSITIVE LOGITS
     everywhere
    1.04
     throughout
    0.90
     elsewhere
    0.79
     in
    0.74
    ences
    0.74
     inside
    0.73
    iated
    0.72
     amongst
    0.72
     indoors
    0.71
     outdoors
    0.71
    Activations Density 0.173%

    No Known Activations