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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. 7808
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    INDEX
    Explanations

    questions or statements involving introspection and self-reflection

    oai_token-act-pair · gpt-3.5-turbo

    reflections on self-inquiry and personal questioning

    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
    •self and identity

    No Comments

    Negative Logits
    nor
    -0.79
    emis
    -0.75
    pour
    -0.74
    von
    -0.73
    resa
    -0.71
    nic
    -0.70
    rought
    -0.69
    osa
    -0.66
    lat
    -0.65
    origin
    -0.65
    POSITIVE LOGITS
    çīĪ
    0.86
    ħĭ
    0.83
    é¾įå¥ij士
    0.80
     creatively
    0.77
     è£ıè
    0.73
     afterward
    0.72
     subconscious
    0.71
     anew
    0.71
     unconsciously
    0.71
     puzzled
    0.70
    Activations Density 0.036%

    No Known Activations