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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. 17885
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    INDEX
    Explanations

    phrases indicating strong negative evaluation

    oai_token-act-pair · gpt-3.5-turbo

    negative evaluations or criticisms of various subjects

    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
    uclear
    -0.71
    isations
    -0.70
    DonaldTrump
    -0.66
    teness
    -0.65
    utherford
    -0.64
    isation
    -0.62
     vetting
    -0.62
     alarms
    -0.60
     psychiat
    -0.60
     millenn
    -0.60
    POSITIVE LOGITS
     dick
    1.00
     suck
    1.00
    eries
    0.92
    bowl
    0.89
    sylvania
    0.88
    glers
    0.85
     sucking
    0.84
     sucks
    0.81
    shot
    0.81
    asses
    0.79
    Activations Density 0.009%

    No Known Activations