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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. 12-RES-JB
    11. 5076
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    Explanations

    references to buttons and actions related to pressing buttons

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    occurrences and references to buttons and user interface elements

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    omach
    -0.71
    tics
    -0.70
    ynt
    -0.66
    ories
    -0.63
    culosis
    -0.62
     Trayvon
    -0.62
     Upton
    -0.62
    ateur
    -0.61
     Bucc
    -0.61
     Flavoring
    -0.60
    POSITIVE LOGITS
     presses
    1.04
     pressed
    1.00
    pressed
    0.98
     clicked
    0.92
     press
    0.84
     binding
    0.82
     clicks
    0.82
     illumination
    0.81
     labelled
    0.81
    stroke
    0.80
    Activations Density 0.105%

    No Known Activations