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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. 4-RES-JB
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    Explanations

    the word "owl"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "owl."

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

    No Comments

    Negative Logits
     Palestin
    -0.83
     fracturing
    -0.80
    senal
    -0.69
     centrif
    -0.68
     resil
    -0.67
     fractured
    -0.66
     Tend
    -0.66
     sympt
    -0.65
     confir
    -0.63
     tamp
    -0.63
    POSITIVE LOGITS
    owl
    1.48
    sburg
    1.04
    \\\\\\\\
    1.02
    sworth
    0.99
    ibrary
    0.95
    oon
    0.94
    endor
    0.93
    ahoo
    0.92
    onge
    0.92
    ength
    0.92
    Activations Density 0.011%

    No Known Activations