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    1. Home
    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. 9069
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    Explanations

    questions starting with "What do you think?" or "What does this mean?"

    oai_token-act-pair · gpt-3.5-turbo

    questions seeking opinions or clarification

    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
    WAYS
    -0.82
    ahime
    -0.69
     Bridges
    -0.67
    gra
    -0.66
    legram
    -0.65
    Lago
    -0.64
    fox
    -0.63
    iza
    -0.63
    gart
    -0.62
    knit
    -0.61
    POSITIVE LOGITS
    ?]
    0.81
     transpired
    0.72
    ãĤ»
    0.71
     wrong
    0.67
    ?)
    0.67
     glean
    0.66
     happen
    0.65
    ?!"
    0.65
    ?!
    0.64
     characterize
    0.64
    Activations Density 0.050%

    No Known Activations