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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. 2-RES-JB
    11. 1793
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    Explanations

    terms related to giving or receiving feedback

    oai_token-act-pair · gpt-3.5-turbo

    references to feedback or responses from users or the public

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    neys
    -0.86
    asar
    -0.81
    annis
    -0.74
    ny
    -0.69
    pper
    -0.68
    ns
    -0.67
    nee
    -0.66
    eni
    -0.66
    frey
    -0.65
    otto
    -0.65
    POSITIVE LOGITS
     feedback
    1.35
     Feedback
    1.11
     testers
    0.99
     loops
    0.95
    ãĥ¼ãĥĨãĤ£
    0.83
    Feed
    0.83
    -+-+
    0.80
     reinforcement
    0.76
     inputs
    0.76
    feed
    0.75
    Activations Density 0.019%

    No Known Activations