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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. 9-RES-JB
    11. 16104
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    Explanations

    locations or settings

    oai_token-act-pair · gpt-3.5-turbo

    the word "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ratulations
    -0.81
    LOG
    -0.69
    uria
    -0.69
    scape
    -0.69
    loads
    -0.68
    arians
    -0.64
    Measure
    -0.63
    ata
    -0.63
    notation
    -0.63
    adding
    -0.62
    POSITIVE LOGITS
     behest
    1.38
     helm
    1.16
     outset
    1.06
     expense
    1.03
     forefront
    1.02
     intersection
    0.97
     airport
    0.89
     end
    0.89
     doorstep
    0.88
     docks
    0.85
    Activations Density 0.146%

    No Known Activations