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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. 5-RES-JB
    6. 22284
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    Explanations

    hyphenated words ending with 'to' or 'between to'

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to negative experiences or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.80
     aborted
    -0.65
     coats
    -0.64
     McKin
    -0.64
     Viper
    -0.63
     questioned
    -0.61
     Tempest
    -0.61
    pta
    -0.59
     Rolls
    -0.58
     Dickinson
    -0.58
    POSITIVE LOGITS
    advertising
    0.92
    elect
    0.90
    date
    0.89
    Egypt
    0.85
    morrow
    0.84
    nom
    0.84
    reach
    0.84
    equ
    0.83
    earth
    0.83
    arms
    0.83
    Activations Density 0.030%

    No Known Activations