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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. 9-RES-JB
    11. 3123
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    Explanations

    phrases related to self-reflection or realization

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to facing challenges or tough truths

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     psychiat
    -0.66
    erent
    -0.66
     beyond
    -0.63
    atar
    -0.63
    oft
    -0.59
    OTUS
    -0.58
    eful
    -0.58
     unfit
    -0.57
    andering
    -0.55
     ancest
    -0.54
    POSITIVE LOGITS
     it
    0.73
    ãĤ´ãĥ³
    0.69
    ãĥ¼ãĥ«
    0.64
    agne
    0.64
    ãģĨ
    0.63
     ya
    0.60
     nutshell
    0.60
    ãĥ¼ãĥĨãĤ£
    0.59
    iversary
    0.56
    Laughs
    0.56
    Activations Density 0.523%

    No Known Activations