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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 16912
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    Explanations

    the word "to" followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to" indicating directives or purposes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     behav
    -0.75
    querque
    -0.70
    tun
    -0.68
     elig
    -0.67
     neighb
    -0.67
     licenses
    -0.66
    vier
    -0.65
     danced
    -0.65
     toured
    -0.65
    anchester
    -0.65
    POSITIVE LOGITS
    othy
    0.86
     shore
    0.82
    asted
    0.82
     accommodate
    0.81
     ensure
    0.80
    ggles
    0.80
     maximize
    0.78
    ffee
    0.76
     minimize
    0.76
    ilet
    0.75
    Activations Density 0.573%

    No Known Activations