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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. 5734
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    Explanations

    phrases related to deep, contemplative thinking

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to the concept of thinking and contemplation

    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
    Not in Any Lists

    No Comments

    Negative Logits
    adra
    -0.72
    catentry
    -0.71
    ante
    -0.63
     Requ
    -0.60
    reditation
    -0.60
     NH
    -0.58
    Requ
    -0.57
     interception
    -0.57
    Availability
    -0.56
     endors
    -0.55
    POSITIVE LOGITS
     aloud
    1.02
    evaluate
    0.74
    about
    0.68
    swer
    0.68
    thinkable
    0.67
    terday
    0.66
     carefully
    0.64
    thinking
    0.63
    tank
    0.63
    acly
    0.63
    Activations Density 0.144%

    No Known Activations