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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. 3643
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    Explanations

    specific numerical data and comparisons

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical values or proportions within the text

    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
     Cosponsors
    -0.65
    CHAT
    -0.61
     Cynthia
    -0.59
    911
    -0.57
    Journal
    -0.57
     Samantha
    -0.57
     Miko
    -0.55
    uador
    -0.55
     Lia
    -0.55
     Nath
    -0.53
    POSITIVE LOGITS
    %.
    0.65
     calories
    0.65
     deductions
    0.65
     peanuts
    0.63
     deducted
    0.63
     quota
    0.62
     allowance
    0.62
     allotted
    0.59
     pudding
    0.59
     perish
    0.58
    Activations Density 1.409%

    No Known Activations