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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. 4-RES-JB
    11. 177
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    Explanations

    terms related to technology, specifically focusing on nanotubes

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the term "ot" in various contexts

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

    No Comments

    Negative Logits
    Downloadha
    -0.69
     misunder
    -0.68
     destro
    -0.65
    surface
    -0.65
     galvan
    -0.64
    interstitial
    -0.63
    ngth
    -0.62
    vier
    -0.62
    ĸļ
    -0.61
    TextColor
    -0.61
    POSITIVE LOGITS
    tery
    1.06
    zeb
    0.99
    assium
    0.99
    onga
    0.94
    inyl
    0.93
    arget
    0.93
    oxicity
    0.93
    ting
    0.93
    opia
    0.93
    ica
    0.90
    Activations Density 0.023%

    No Known Activations