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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. 3-RES-JB
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    Explanations

    references to powerful or intimidating entities, often represented metaphorically as beasts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "beast" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bered
    -0.80
    encing
    -0.77
     slee
    -0.76
    psons
    -0.75
    arning
    -0.72
    rontal
    -0.71
    riber
    -0.70
    aded
    -0.70
    arters
    -0.69
    pse
    -0.69
    POSITIVE LOGITS
     Beast
    0.96
     Beasts
    0.93
    Beast
    0.85
    buster
    0.83
    gey
    0.82
    roots
    0.81
    lings
    0.80
     Incarn
    0.79
    mode
    0.79
    cakes
    0.78
    Activations Density 0.014%

    No Known Activations