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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. 9-RES-JB
    11. 4961
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    Explanations

    words related to systems, processes, and potential outcomes

    oai_token-act-pair · gpt-3.5-turbo

    sentences containing forms of the verb "to be" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Highlights
    -0.75
     phrases
    -0.75
     meanings
    -0.75
     titles
    -0.75
     Pledge
    -0.75
     ceremonies
    -0.73
    atives
    -0.73
     Trails
    -0.73
     signings
    -0.72
    rue
    -0.71
    POSITIVE LOGITS
     capable
    1.35
     incapable
    1.35
     equipped
    1.27
     able
    1.19
     staffed
    1.17
     riddled
    1.15
     reliant
    1.14
     engulfed
    1.14
     populated
    1.13
     rebuilt
    1.13
    Activations Density 0.511%

    No Known Activations