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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 2707
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    Explanations

    numerical values associated with pricing

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express difficulty or inability to obtain something

    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
     hast
    -0.71
    probably
    -0.65
     annex
    -0.63
     Destruction
    -0.62
    RON
    -0.61
    stadt
    -0.60
    stones
    -0.59
     KING
    -0.58
    BE
    -0.58
    lot
    -0.57
    POSITIVE LOGITS
     traction
    0.95
     grips
    0.89
     satisfactory
    0.87
    enough
    0.85
     adequate
    0.83
     grasp
    0.83
     hold
    0.82
     foothold
    0.80
     enough
    0.80
     anymore
    0.78
    Activations Density 0.141%

    No Known Activations