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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. 9-RES-JB
    11. 11378
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    INDEX
    Explanations

    mentions of specific amounts or values

    oai_token-act-pair · gpt-3.5-turbo

    instances of the character 'ľ'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     manif
    -0.84
     incorpor
    -0.83
     tyres
    -0.72
     cones
    -0.71
     neighb
    -0.71
     slic
    -0.69
     levers
    -0.69
     stunts
    -0.69
     electrodes
    -0.68
     psychedel
    -0.68
    POSITIVE LOGITS
    ï¸ı
    1.28
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    1.27
    âĶĢâĶĢ
    1.26
    âĶĢâĶĢâĶĢâĶĢ
    1.26
    âĿ
    1.01
    âĸ¬âĸ¬
    0.91
    âľ
    0.91
    âĹ
    0.91
    STER
    0.83
    ----------------------------------------------------------------
    0.83
    Activations Density 0.108%

    No Known Activations