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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. 5397
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    INDEX
    Explanations

    references to ear-related objects or activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ear-related devices or products

    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
     Alam
    -0.79
    ERO
    -0.78
     VK
    -0.70
    antine
    -0.69
     Vide
    -0.69
    enance
    -0.68
    IDE
    -0.66
     ABE
    -0.65
     Wikimedia
    -0.63
     Courier
    -0.63
    POSITIVE LOGITS
    ldom
    1.32
    phones
    1.24
    rings
    1.20
    wig
    1.16
    marked
    1.09
     lobe
    1.09
    piece
    1.08
    phone
    1.07
     canal
    1.05
    pieces
    0.99
    Activations Density 0.040%

    No Known Activations