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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. 6-RES-JB
    11. 12080
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    Explanations

    phrases or sentences containing greetings

    oai_token-act-pair · gpt-3.5-turbo

    punctuation or conversational interjections that indicate dialogue or interaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İĭ
    -0.76
    ourse
    -0.74
    inction
    -0.74
    ilater
    -0.66
    arez
    -0.65
    %:
    -0.64
    arov
    -0.62
    /
    -0.60
     lab
    -0.59
    arus
    -0.59
    POSITIVE LOGITS
     yeah
    0.89
     Wait
    0.77
     dunno
    0.74
     dear
    0.72
     yes
    0.72
     maybe
    0.71
     sorry
    0.70
     Weird
    0.70
     Butt
    0.69
     Sue
    0.69
    Activations Density 0.077%

    No Known Activations