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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. 13868
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    Explanations

    phrases related to prevention or obstruction

    oai_token-act-pair · gpt-3.5-turbo

    references to prevention or obstruction of actions or outcomes

    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
    é¾įåĸļ士
    -0.83
    soDeliveryDate
    -0.72
    Appearance
    -0.63
     Cowboy
    -0.60
    =-=-
    -0.58
    sup
    -0.58
    BAT
    -0.58
     Responsibility
    -0.57
    å¦
    -0.57
    :{
    -0.56
    POSITIVE LOGITS
     accessing
    0.99
     from
    0.95
     interfering
    0.89
     harming
    0.88
    from
    0.83
     bothering
    0.82
     slipping
    0.81
     escaping
    0.80
     obtaining
    0.80
     fulfilling
    0.80
    Activations Density 0.176%

    No Known Activations