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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. 5214
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    Explanations

    hyphenated words, particularly those related to technical formats like DVD and Blu-ray

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Blu-ray and DVD formats

    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
    @@@@
    -0.70
     answ
    -0.70
     Democr
    -0.70
     idiosyncr
    -0.69
     Gallup
    -0.68
     centrif
    -0.67
     TODAY
    -0.67
     SERV
    -0.66
     moder
    -0.64
     weap
    -0.64
    POSITIVE LOGITS
    ray
    1.47
    rays
    1.30
    Ray
    1.21
    series
    1.03
    cert
    0.95
    fil
    0.95
    RAY
    0.93
    cell
    0.91
    scan
    0.88
    ondo
    0.88
    Activations Density 0.021%

    No Known Activations