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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. 4-RES-JB
    11. 20171
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    Explanations

    phrases related to narrowly avoiding or narrowly escaping something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating narrowly defined concepts or situations

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

    No Comments

    Negative Logits
     Occupations
    -0.75
    slave
    -0.69
     Cth
    -0.67
     Maid
    -0.67
     Parade
    -0.66
     Golem
    -0.66
    Els
    -0.65
    ription
    -0.63
    ngth
    -0.62
     Apostles
    -0.62
    POSITIVE LOGITS
     minded
    1.11
     narrowly
    0.88
     tailored
    0.80
    tail
    0.80
    minded
    0.77
     edged
    0.77
    Ń·
    0.76
     aver
    0.75
     exempted
    0.75
    opt
    0.74
    Activations Density 0.009%

    No Known Activations