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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. 10-RES-JB
    11. 10639
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    Explanations

    questions starting with "Why do" or "Why are"

    oai_token-act-pair · gpt-3.5-turbo

    questions and inquiries about motivations and reasons behind actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iHUD
    -0.83
    abase
    -0.74
    orage
    -0.74
    yssey
    -0.72
    opian
    -0.71
    orge
    -0.70
    aukee
    -0.69
    orthy
    -0.65
    ibaba
    -0.65
     Pwr
    -0.64
    POSITIVE LOGITS
    ?]
    0.84
     nobody
    0.80
     everyone
    0.80
     so
    0.80
     people
    0.79
     SO
    0.74
    everyone
    0.73
     liberals
    0.73
     everybody
    0.72
    ?".
    0.71
    Activations Density 0.062%

    No Known Activations