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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. 10-RES-JB
    11. 14005
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    INDEX
    Explanations

    phrases related to observations or experiences

    oai_token-act-pair · gpt-3.5-turbo

    instances of reported observations or anecdotes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hest
    -0.81
    urden
    -0.79
    aler
    -0.76
    aven
    -0.76
    breaker
    -0.74
    iest
    -0.73
    undo
    -0.72
    phe
    -0.70
    eta
    -0.70
    worm
    -0.70
    POSITIVE LOGITS
     instances
    1.36
     cases
    1.23
     examples
    1.14
     incidents
    1.08
     suicides
    1.07
     individuals
    1.06
     people
    1.06
     anecdotal
    1.04
     complaints
    1.02
     egregious
    1.01
    Activations Density 0.377%

    No Known Activations