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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. 2900
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    Explanations

    phrases related to the submission or approval of formal requests or the expression of support or agreement

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases or formats typically used in quotations or reporting statements

    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
     Euros
    -0.64
     centrally
    -0.62
     Trident
    -0.60
     sacrificing
    -0.59
     Headquarters
    -0.58
     Leviathan
    -0.58
    andon
    -0.58
     Cent
    -0.57
     endeav
    -0.56
     monet
    -0.56
    POSITIVE LOGITS
    Bus
    1.08
    ³³³³³³³³
    1.04
    Correct
    1.03
    ³³³
    1.02
    ³³³³
    0.93
    Tex
    0.92
    Lear
    0.91
    Article
    0.87
    Ram
    0.87
    PHOTOS
    0.86
    Activations Density 0.336%

    No Known Activations