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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. 22973
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    Explanations

    terms related to user-friendliness and user-generated content

    oai_token-act-pair · gpt-3.5-turbo

    references to user-generated content and its characteristics

    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
     Dunk
    -0.74
     Burr
    -0.71
     Downs
    -0.71
     Cob
    -0.70
     Bullets
    -0.69
     Pryor
    -0.67
     Rut
    -0.66
     Ply
    -0.65
     Powder
    -0.64
     Thur
    -0.63
    POSITIVE LOGITS
    friendly
    1.31
    centric
    1.19
    driven
    1.14
    generated
    1.12
    specific
    1.11
    controlled
    1.10
    focused
    1.05
    centered
    1.05
    favorite
    1.04
    oriented
    1.04
    Activations Density 0.076%

    No Known Activations