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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. 4-RES-JB
    11. 18431
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    Explanations

    phrases related to raising concerns or issues

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "raised" in the context of concerns or issues

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

    No Comments

    Negative Logits
    ician
    -0.76
     snipp
    -0.73
    inates
    -0.72
     vanquished
    -0.71
     Samoa
    -0.68
    íķ
    -0.68
    mic
    -0.65
    melon
    -0.65
     resid
    -0.64
     Courtney
    -0.64
    POSITIVE LOGITS
     eyebrows
    1.19
     eyebrow
    0.83
    xual
    0.78
    stakes
    0.78
    tones
    0.77
     concerns
    0.77
     alarms
    0.75
     raised
    0.75
     suspicions
    0.74
     fears
    0.72
    Activations Density 0.022%

    No Known Activations