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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. 3-RES-JB
    11. 23414
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    Explanations

    references to helping physically disabled or elderly individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to physical disabilities and handicaps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.90
    ãģ®éŃĶ
    -0.76
    nces
    -0.75
    akeru
    -0.73
    xit
    -0.72
     Aval
    -0.72
    xon
    -0.70
     Kafka
    -0.69
    andestine
    -0.69
     Reloaded
    -0.67
    POSITIVE LOGITS
     handic
    1.31
    lete
    0.84
     cripp
    0.83
    apped
    0.83
     skew
    0.76
    allowed
    0.74
     comprom
    0.73
    letes
    0.73
    otomy
    0.72
    serv
    0.72
    Activations Density 0.009%

    No Known Activations