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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 22715
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    INDEX
    Explanations

    positive emotional reactions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or awe

    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
     Townsend
    -0.64
     leaflets
    -0.64
     Feld
    -0.63
     Fract
    -0.60
     Vie
    -0.59
     Nadu
    -0.59
     discriminated
    -0.59
     duplication
    -0.58
     inadvertently
    -0.58
     Missile
    -0.58
    POSITIVE LOGITS
    kward
    1.57
    akening
    1.45
    akens
    1.38
    aken
    1.18
    esome
    1.18
    FUL
    1.06
    oken
    1.01
    ait
    1.00
    oln
    0.99
    ful
    0.99
    Activations Density 0.020%

    No Known Activations