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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3259
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    Explanations

    numbers within a specific range

    oai_token-act-pair · gpt-3.5-turbo

    numerical codes or identifiers related to specific events or statistics

    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
    iku
    -0.71
     Rica
    -0.70
    imaru
    -0.65
    igslist
    -0.63
    olean
    -0.63
     derog
    -0.63
    govtrack
    -0.62
     targ
    -0.61
    theless
    -0.61
     nudity
    -0.61
    POSITIVE LOGITS
    th
    1.05
    teenth
    1.05
     richest
    0.88
    %-
    0.86
    venth
    0.85
     largest
    0.85
    %"
    0.85
    ieth
    0.85
     Greatest
    0.82
     wealthiest
    0.79
    Activations Density 0.137%

    No Known Activations