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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16164
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    INDEX
    Explanations

    mentions of ratings in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to ratings or evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adr
    -0.98
    ilus
    -0.78
    ansson
    -0.78
     Alz
    -0.77
    nown
    -0.72
    working
    -0.72
    chal
    -0.68
    prus
    -0.68
    uve
    -0.68
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.68
    POSITIVE LOGITS
     ratings
    1.23
     rating
    1.13
     Ratings
    0.98
     Rating
    0.91
    Rating
    0.86
     rated
    0.83
    Reviewer
    0.83
    âĺħâĺħ
    0.82
     downgrade
    0.81
    rating
    0.81
    Activations Density 0.036%

    No Known Activations