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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. 22752
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    Explanations

    positive opinions and emotions towards various subjects

    oai_token-act-pair · gpt-3.5-turbo

    expressions of positivity and appreciation towards various subjects

    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
     Himself
    -0.68
    hes
    -0.65
    ÃŃa
    -0.65
     Us
    -0.63
     us
    -0.63
    "}
    -0.63
    emer
    -0.62
     apiece
    -0.61
     allerg
    -0.61
    Me
    -0.60
    POSITIVE LOGITS
     myself
    1.15
    poke
    0.80
     Flavoring
    0.64
    Ļ½
    0.63
     <+
    0.63
    avorite
    0.63
     my
    0.63
    Ĥª
    0.62
     compliments
    0.61
    uilt
    0.60
    Activations Density 0.428%

    No Known Activations