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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. 6-RES-JB
    11. 14089
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    Explanations

    words related to equipment or activities involving heating or warming, such as heaters, springs, or warm drinks

    oai_token-act-pair · gpt-3.5-turbo

    terms related to heated or contentious situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¨ãĥ«
    -0.75
    è£
    -0.72
    emort
    -0.71
    yard
    -0.69
    ittal
    -0.65
    ãĥĥãĥī
    -0.64
    matically
    -0.64
    vernment
    -0.63
     unfocusedRange
    -0.63
    axter
    -0.62
    POSITIVE LOGITS
     heels
    0.72
    hens
    0.72
     brakes
    0.70
     Rockets
    0.70
     humid
    0.68
    jri
    0.65
    buck
    0.63
    nings
    0.63
    terness
    0.62
    entin
    0.62
    Activations Density 0.227%

    No Known Activations