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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. 10986
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    Explanations

    phrases related to instructions or steps in a process

    oai_token-act-pair · gpt-3.5-turbo

    variations of a specific character or symbol

    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
     Reverend
    -0.71
     Doodle
    -0.70
     mockery
    -0.68
     Lyndon
    -0.65
     Hilton
    -0.64
     Dorothy
    -0.64
     Glen
    -0.64
     Jama
    -0.63
     Reilly
    -0.62
     Winc
    -0.61
    POSITIVE LOGITS
    ï¸ı
    1.19
    âĶĢâĶĢâĶĢâĶĢ
    0.87
    _>
    0.81
    ï¸
    0.79
    âĨij
    0.79
    shown
    0.79
    Figure
    0.74
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.74
    actual
    0.74
    endif
    0.74
    Activations Density 0.313%

    No Known Activations