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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. 3198
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    Explanations

    personal information or details about individuals

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

    references to personal information or experiences

    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
    xual
    -1.14
    UP
    -0.74
    eligible
    -0.69
    OND
    -0.68
    leep
    -0.67
     âĶľ
    -0.66
    simple
    -0.65
    vous
    -0.64
    ensen
    -0.64
    REG
    -0.64
    POSITIVE LOGITS
    ised
    1.16
    ization
    1.02
     hygiene
    0.98
    isation
    0.96
    ities
    0.96
     belongings
    0.96
     vend
    0.95
    ized
    0.94
    izing
    0.92
     trainer
    0.86
    Activations Density 0.057%

    No Known Activations