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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. 6458
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    Explanations

    code syntax that identifies specific functions or operations

    oai_token-act-pair · gpt-3.5-turbo

    references to social or political commentaries

    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
     Palest
    -0.74
     juggling
    -0.72
     guiActiveUnfocused
    -0.71
     scattering
    -0.71
     shack
    -0.70
     charisma
    -0.70
     fortun
    -0.67
     Suzuki
    -0.67
    è£ħ
    -0.66
     seiz
    -0.66
    POSITIVE LOGITS
    £
    1.03
    ¼
    1.01
    Ń
    0.93
    ¢
    0.93
    ¬
    0.93
    º
    0.92
    Ĵ
    0.90
    ould
    0.89
    ķ
    0.89
    ¤
    0.88
    Activations Density 0.122%

    No Known Activations