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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. 3-RES-JB
    11. 15802
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    Explanations

    the name "Pete" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    names and attributes associated with people

    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
    spring
    -0.85
    matic
    -0.72
    lime
    -0.70
    demand
    -0.68
    animous
    -0.66
    mable
    -0.66
    sets
    -0.65
     maiden
    -0.65
     custody
    -0.64
    sm
    -0.63
    POSITIVE LOGITS
    chnology
    1.23
    ete
    1.21
    lements
    0.98
    eme
    0.89
    herer
    0.87
    lde
    0.86
    udo
    0.84
    llo
    0.82
    anu
    0.80
    here
    0.79
    Activations Density 0.008%

    No Known Activations