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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
    11. 17538
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    Explanations

    phrases indicating a lack of impact or significance

    oai_token-act-pair · gpt-3.5-turbo

    the word "little" in various contexts, indicating a theme of insignificance or minimal impact

    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
    omics
    -0.72
    rite
    -0.70
    thouse
    -0.70
    anwhile
    -0.68
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.68
    RAFT
    -0.66
    swick
    -0.64
    itect
    -0.63
    bach
    -0.62
    eneg
    -0.62
    POSITIVE LOGITS
     bit
    0.84
     consolation
    0.76
     patience
    0.68
     amount
    0.66
    heartedly
    0.63
     girls
    0.63
    finger
    0.63
     touches
    0.62
     accord
    0.62
     earthly
    0.62
    Activations Density 0.031%

    No Known Activations