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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. 8-RES-JB
    11. 8633
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    keywords related to specific objects and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hops
    -0.75
    xes
    -0.74
    poons
    -0.73
    assies
    -0.73
    apses
    -0.73
     loopholes
    -0.70
    IDs
    -0.70
    }.
    -0.69
    pees
    -0.69
    Phones
    -0.69
    POSITIVE LOGITS
     variant
    0.80
     version
    0.75
     standpoint
    0.74
     nutshell
    0.71
     spokesperson
    0.71
     perspective
    0.70
     themed
    0.69
     statement
    0.69
     analogy
    0.66
     misconception
    0.66
    Activations Density 0.897%

    No Known Activations