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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. 0-RES-JB
    11. 1253
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    Explanations

    text related to construction, building, or creation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Construct" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stice
    -0.73
    aris
    -0.64
    ullah
    -0.63
    abouts
    -0.62
    idon
    -0.62
     LIB
    -0.61
    alian
    -0.61
    arium
    -0.61
     Grad
    -0.60
    pak
    -0.59
    POSITIVE LOGITS
     Construct
    0.74
    Asset
    0.66
    ounce
    0.66
    ãĥĥ
    0.65
    krit
    0.64
    speech
    0.63
    Prime
    0.62
     newsp
    0.62
    raq
    0.61
     proble
    0.59
    Activations Density 0.000%

    No Known Activations