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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. 11-RES-JB
    6. 14932
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    Explanations

    questions related to reasoning or causation

    oai_token-act-pair · gpt-3.5-turbo

    questions that seek clarification or understanding

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ento
    -0.72
    enary
    -0.70
    umbn
    -0.69
    */(
    -0.66
    minus
    -0.65
    azon
    -0.63
    wcsstore
    -0.63
    apache
    -0.62
    gio
    -0.61
    iHUD
    -0.60
    POSITIVE LOGITS
    ?
    1.15
     does
    0.94
    ?,
    0.94
     Does
    0.92
    soever
    0.91
    ?!
    0.90
     Exactly
    0.88
     else
    0.87
    ?:
    0.85
     did
    0.84
    Activations Density 0.086%

    No Known Activations