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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. 2-RES-JB
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    Explanations

    the word "beast" at varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences and variations of the word "beast."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arters
    -0.82
    bered
    -0.76
    pai
    -0.75
    enza
    -0.73
    idential
    -0.72
    licted
    -0.71
    monds
    -0.69
     polymer
    -0.67
    mit
    -0.67
    encing
    -0.66
    POSITIVE LOGITS
     beasts
    1.23
     beast
    1.10
     Beasts
    0.97
    buster
    0.87
     carc
    0.85
     Beast
    0.82
    Beast
    0.80
    osaurs
    0.79
    zilla
    0.77
    busters
    0.76
    Activations Density 0.010%

    No Known Activations