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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. 8903
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    Explanations

    titles of various written works

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "titled" in various contexts

    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
    eda
    -0.72
    aea
    -0.71
    ILA
    -0.71
    ija
    -0.67
     FTA
    -0.65
    ieri
    -0.65
    ello
    -0.64
    midt
    -0.63
     Rasmussen
    -0.62
     Isles
    -0.60
    POSITIVE LOGITS
     titled
    0.85
    =""
    0.83
     misunder
    0.80
    ividual
    0.80
    terday
    0.79
    eous
    0.79
    itled
    0.79
    pins
    0.77
    comings
    0.76
    ngth
    0.74
    Activations Density 0.013%

    No Known Activations