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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. 12-RES-JB
    11. 2900
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    INDEX
    Explanations

    technical methods or procedures

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    various methods and systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gloom
    -0.63
     earnest
    -0.60
     zone
    -0.60
     roaring
    -0.58
     Thiel
    -0.56
    enda
    -0.54
     zones
    -0.54
     pac
    -0.54
     Tyrann
    -0.54
     Bots
    -0.53
    POSITIVE LOGITS
    ologies
    1.75
    ologically
    1.27
    ologic
    1.23
    ology
    1.13
    OLOGY
    1.13
    ological
    1.08
    ical
    1.07
    ologists
    0.98
     employed
    0.98
    ically
    0.95
    Activations Density 0.110%

    No Known Activations