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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. 4853
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    Explanations

    reassuring statements urging not to worry or be concerned

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey reassurance and alleviate concerns

    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
    ewitness
    -1.00
    arb
    -0.80
    opening
    -0.75
    artifacts
    -0.71
    assisted
    -0.70
    authorized
    -0.68
    endum
    -0.68
    ingers
    -0.68
    oute
    -0.68
    ĻĤ
    -0.67
    POSITIVE LOGITS
    lessly
    0.97
     worry
    0.94
    warts
    0.94
    ingly
    0.90
    wart
    0.81
     fret
    0.81
     worrying
    0.79
     ABOUT
    0.73
     about
    0.71
     juven
    0.70
    Activations Density 0.018%

    No Known Activations