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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. 8301
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    Explanations

    passages describing evidence or demonstration of various actions or qualities

    oai_token-act-pair · gpt-3.5-turbo

    clauses that indicate evidence or demonstration of a concept

    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
     warr
    -0.71
     discour
    -0.66
    uum
    -0.63
     overall
    -0.61
     discont
    -0.59
    earch
    -0.57
    ebook
    -0.56
     discouraged
    -0.56
     inherently
    -0.56
    pport
    -0.55
    POSITIVE LOGITS
     namely
    0.81
    taining
    0.76
     courtesy
    0.71
    LET
    0.70
     Firstly
    0.69
     Here
    0.69
     HERE
    0.68
    MpServer
    0.67
    éĹĺ
    0.67
    Firstly
    0.65
    Activations Density 1.045%

    No Known Activations