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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. 0-RES-JB
    11. 12634
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    Explanations

    phrases related to labeling or classification

    oai_token-act-pair · gpt-3.5-turbo

    references to product labels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unarmed
    -0.74
    vati
    -0.72
    arth
    -0.68
    pher
    -0.65
    °
    -0.65
    aug
    -0.64
     praying
    -0.63
     emergencies
    -0.61
    ski
    -0.61
    ven
    -0.61
    POSITIVE LOGITS
     label
    3.92
     labels
    3.14
     Label
    2.67
    label
    2.47
    Label
    2.23
     labeling
    1.94
     moniker
    1.52
     labeled
    1.49
     imprint
    1.43
     designation
    1.34
    Activations Density 0.022%

    No Known Activations