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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. 8666
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    Explanations

    phrases related to high quality or positive attributes

    oai_token-act-pair · gpt-3.5-turbo

    the word "good" and its variations in different contexts

    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
     Canaver
    -0.78
    limits
    -0.74
     constructs
    -0.74
    redients
    -0.73
     elig
    -0.73
    projects
    -0.71
     closures
    -0.68
     Rooms
    -0.68
    clips
    -0.67
    âĹı
    -0.67
    POSITIVE LOGITS
     chunk
    1.19
    sword
    1.10
     deal
    1.04
    enough
    0.95
     amount
    0.92
     approximation
    0.89
     dose
    0.89
     sized
    0.84
     ol
    0.83
     job
    0.83
    Activations Density 0.078%

    No Known Activations