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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
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    Explanations

    the word "full" followed by various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "full."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    amus
    -0.74
    ICAN
    -0.73
    pher
    -0.70
    ovan
    -0.68
    Downloadha
    -0.65
    ucl
    -0.65
    iggurat
    -0.64
    nia
    -0.63
    adesh
    -0.63
    apters
    -0.62
    POSITIVE LOGITS
    screen
    1.06
    erton
    0.94
    heartedly
    0.88
     blown
    0.83
     fled
    0.83
    bright
    0.82
    fledged
    0.79
     moon
    0.78
    text
    0.76
    grown
    0.76
    Activations Density 0.032%

    No Known Activations