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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. 2-RES-JB
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    Explanations

    the word "Back"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Back"

    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
    tein
    -0.67
    inational
    -0.66
    ×IJ
    -0.63
     LINE
    -0.63
    ittee
    -0.62
    nt
    -0.62
     Jew
    -0.62
    ision
    -0.62
    åŃ
    -0.59
    cules
    -0.58
    POSITIVE LOGITS
    wards
    1.06
    door
    1.05
    lash
    1.03
    packs
    1.02
    gam
    0.99
    dated
    0.98
    side
    0.96
    stories
    0.96
    GROUND
    0.95
    )=(
    0.89
    Activations Density 0.049%

    No Known Activations