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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. 12669
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    Explanations

    time intervals in the format of hours and minutes

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or statistics formatted as decimal points

    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
     sustainability
    -0.53
     culinary
    -0.50
     contribut
    -0.50
     interf
    -0.49
     elusive
    -0.48
     sandwiches
    -0.48
     pedd
    -0.47
     carpet
    -0.47
     tsunami
    -0.47
     Vec
    -0.46
    POSITIVE LOGITS
    93
    1.44
    92
    1.43
    06
    1.42
    91
    1.41
    94
    1.41
    86
    1.40
    84
    1.40
    82
    1.40
    81
    1.40
    68
    1.40
    Activations Density 0.071%

    No Known Activations