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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. 7471
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    INDEX
    Explanations

    mentions of time as a key concept

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference specific time periods or moments

    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
    uff
    -0.72
    ply
    -0.66
    yi
    -0.63
    urally
    -0.61
     Deer
    -0.59
     Jacket
    -0.59
    95
    -0.58
     Wah
    -0.58
    atile
    -0.58
    bass
    -0.57
    POSITIVE LOGITS
    abouts
    0.81
    soever
    0.79
    upon
    0.72
    cius
    0.70
    iatus
    0.69
    endment
    0.65
    Js
    0.65
    oresc
    0.64
    holders
    0.64
    jriwal
    0.63
    Activations Density 0.103%

    No Known Activations