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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

    instances of the word "with"

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "with" used 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
    chuk
    -0.57
    ati
    -0.54
    ieri
    -0.53
    ovich
    -0.50
    omsky
    -0.49
    opoly
    -0.48
    fair
    -0.47
    ucci
    -0.47
    ilight
    -0.47
    iations
    -0.46
    POSITIVE LOGITS
     regard
    1.13
     regards
    1.11
    standing
    1.00
    stood
    0.93
     respect
    0.89
    draw
    0.89
     impunity
    0.86
    holding
    0.82
    drawn
    0.81
     dignity
    0.67
    Activations Density 0.180%

    No Known Activations