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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21397
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    INDEX
    Explanations

    phrases indicating deviation or departure from expected norms

    oai_token-act-pair · gpt-3.5-turbo

    critical evaluations or assessments of artistic works

    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
    illance
    -0.82
     mobilization
    -0.78
     mobil
    -0.76
     inaug
    -0.75
    kefeller
    -0.73
     arrangements
    -0.71
     mobilized
    -0.70
    amorph
    -0.70
    ère
    -0.70
    ipal
    -0.69
    POSITIVE LOGITS
     Personally
    1.25
    Personally
    1.25
    Honestly
    1.10
     Honestly
    1.07
     Nope
    0.92
     Whilst
    0.92
     cringe
    0.89
     Regardless
    0.87
    Firstly
    0.87
     negativity
    0.87
    Activations Density 0.986%

    No Known Activations