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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. 6998
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    Explanations

    phrases related to valuable items or possessions

    oai_token-act-pair · gpt-3.5-turbo

    references to value or valuables

    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
    olitan
    -0.79
    pread
    -0.72
    hower
    -0.69
    liness
    -0.69
    soever
    -0.66
    sein
    -0.65
     Bread
    -0.65
     Daylight
    -0.63
     EntityItem
    -0.63
    éĹĺ
    -0.63
    POSITIVE LOGITS
    ueless
    1.06
    uations
    1.05
    ibr
    0.99
    entin
    0.90
    uing
    0.88
    ipers
    0.86
    anche
    0.85
    ign
    0.85
    enture
    0.84
    uably
    0.84
    Activations Density 0.008%

    No Known Activations