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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. 12-RES-JB
    11. 4349
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    Explanations

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    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    structured guidance and advice on planning and execution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     earthqu
    -0.76
     exting
    -0.72
    amn
    -0.71
    liv
    -0.71
    renheit
    -0.70
     humiliated
    -0.69
    vernment
    -0.68
    û
    -0.68
    ansas
    -0.67
    outhern
    -0.65
    POSITIVE LOGITS
     usability
    1.18
     optimization
    1.09
     UX
    1.08
     frameworks
    1.04
     algorith
    1.04
     optimizations
    1.01
     optimizing
    0.99
     computational
    0.99
     iter
    0.99
     qualitative
    0.98
    Activations Density 1.128%

    No Known Activations