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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. 10-RES-JB
    11. 5453
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    Explanations

    different ways or means of doing something

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to cost-effectiveness and efficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assis
    -0.87
    older
    -0.83
    ropolitan
    -0.82
    appiness
    -0.73
    atches
    -0.72
    ORN
    -0.72
    clair
    -0.71
    idium
    -0.69
    70710
    -0.68
    alted
    -0.68
    POSITIVE LOGITS
     method
    1.83
     methods
    1.80
     means
    1.61
     ways
    1.60
     tactic
    1.58
     way
    1.53
     techniques
    1.45
     tactics
    1.44
     mechanism
    1.43
     technique
    1.41
    Activations Density 0.657%

    No Known Activations