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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. 10-RES-JB
    11. 23378
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     techno
    -0.67
     Thrones
    -0.66
     NTS
    -0.63
     paving
    -0.62
     leaps
    -0.62
     technological
    -0.61
     unaccount
    -0.61
     powering
    -0.60
     foregoing
    -0.60
     unavoid
    -0.60
    POSITIVE LOGITS
    _
    1.49
    utils
    1.11
    Obj
    1.11
    Name
    1.11
    Names
    1.10
    Count
    1.08
    Number
    1.03
    Num
    1.03
     :=
    1.03
    ={
    1.02
    Activations Density 0.145%

    No Known Activations