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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. 1-RES-JB
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    Explanations

    the word "back" specifically written with the number 9 and 10 following it

    oai_token-act-pair · gpt-3.5-turbo

    the term "back" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.72
     Aires
    -0.64
     BUS
    -0.62
    IFA
    -0.60
    urious
    -0.60
    VID
    -0.60
     fuss
    -0.59
     faint
    -0.58
    STD
    -0.58
     Jew
    -0.57
    POSITIVE LOGITS
    back
    1.27
    door
    1.26
    backs
    1.03
    wards
    0.97
    lash
    0.96
    hoe
    0.91
    dated
    0.90
    gam
    0.88
    doors
    0.88
    )=(
    0.86
    Activations Density 0.010%

    No Known Activations