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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
    11. 15279
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    Explanations

    references to the concept of "little" or "not much" in a context that implies a lack of impact or effectiveness

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "little" in various contexts

    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
    rite
    -0.74
    thouse
    -0.74
    bach
    -0.67
     CoC
    -0.66
    idential
    -0.64
    ãĥķãĤ©
    -0.64
    draft
    -0.64
    CRIP
    -0.63
    soc
    -0.63
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.63
    POSITIVE LOGITS
     bit
    0.86
     consolation
    0.78
     Debbie
    0.69
     boy
    0.65
     patience
    0.65
     girls
    0.64
     amount
    0.64
     girl
    0.63
     boys
    0.63
    thing
    0.63
    Activations Density 0.032%

    No Known Activations