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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. 1-RES-JB
    11. 16243
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    Explanations

    phrases related to achieving goals or contacting someone

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "reach."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    mort
    -0.70
    cler
    -0.70
    birds
    -0.67
    Quant
    -0.66
    bats
    -0.66
    cas
    -0.65
    hib
    -0.65
    rain
    -0.65
    DI
    -0.64
    currency
    -0.64
    POSITIVE LOGITS
     reach
    1.30
     Reach
    1.05
     fruition
    0.97
     reached
    0.95
     reaches
    0.87
     reaching
    0.85
    reach
    0.82
     nearer
    0.74
     grasp
    0.73
     heights
    0.73
    Activations Density 0.016%

    No Known Activations