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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. 7-RES-JB
    11. 8002
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    INDEX
    Explanations

    instances of surprise or shock

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "when" and its context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 7 - surprise

    No Comments

    Negative Logits
    ulture
    -0.79
    agin
    -0.75
    yan
    -0.73
    akia
    -0.69
    yre
    -0.69
    ylan
    -0.67
    gan
    -0.67
    ayan
    -0.66
    zzi
    -0.65
    hole
    -0.65
    POSITIVE LOGITS
    soever
    1.16
     confronted
    0.89
     faced
    0.79
     comparing
    0.76
     asked
    0.74
     recalling
    0.74
     encountering
    0.73
    irlf
    0.73
     reminded
    0.73
     someone
    0.71
    Activations Density 0.101%

    No Known Activations