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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

    phrases or sentences where someone or something is confronted with a challenging situation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "aced" in various forms

    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
     heck
    -0.65
    plet
    -0.63
     yield
    -0.63
    ALT
    -0.62
    rug
    -0.61
     defect
    -0.60
     wa
    -0.60
    leaf
    -0.60
     yeast
    -0.59
    pen
    -0.59
    POSITIVE LOGITS
    aced
    1.02
    acing
    1.00
    aces
    0.87
    iton
    0.86
    alde
    0.80
    ulia
    0.79
    acers
    0.76
     Accessed
    0.75
     Sadd
    0.72
    ¶æ
    0.72
    Activations Density 0.010%

    No Known Activations