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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. 8-RES-JB
    11. 1893
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    Explanations

    strings that resemble alphanumeric codes or identification numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to grant numbers and related identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     furious
    -0.71
     entrances
    -0.71
     browsing
    -0.71
    osphere
    -0.70
     mindless
    -0.68
     gameplay
    -0.67
     gloom
    -0.66
     closures
    -0.65
     soaking
    -0.65
     streams
    -0.65
    POSITIVE LOGITS
    20439
    1.33
    CV
    1.23
    003
    1.21
    201
    1.19
    014
    1.13
    005
    1.13
    0002
    1.12
    cv
    1.12
    001
    1.09
    XXXX
    1.07
    Activations Density 0.233%

    No Known Activations