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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. 5-RES-JB
    6. 2098
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    Explanations

    the word "victory" at varying levels of importance

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "victory."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pores
    -0.79
    ridges
    -0.69
    UCT
    -0.65
    asus
    -0.65
     notor
    -0.65
     abund
    -0.64
    hemy
    -0.62
     livest
    -0.61
     suspic
    -0.60
     newsletters
    -0.60
    POSITIVE LOGITS
     victory
    0.80
    stroke
    0.80
     defeat
    0.77
    hower
    0.76
     victories
    0.76
    antly
    0.76
     Lann
    0.73
    Sham
    0.73
    bringer
    0.72
     defeats
    0.69
    Activations Density 0.021%

    No Known Activations