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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. 7-RES-JB
    11. 24114
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    INDEX
    Explanations

    mentions of seasons

    oai_token-act-pair · gpt-3.5-turbo

    temporal references related to seasons and dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    advertising
    -0.62
    esters
    -0.58
     PLEASE
    -0.56
    word
    -0.55
     misunderstanding
    -0.54
     appre
    -0.54
    Synopsis
    -0.54
    seless
    -0.53
    Ye
    -0.53
    Pinterest
    -0.51
    POSITIVE LOGITS
     thereafter
    1.31
     afterward
    0.92
     afterwards
    0.91
     thereto
    0.73
     subsequent
    0.72
     accordingly
    0.71
     later
    0.71
     farther
    0.68
     altogether
    0.68
    dule
    0.67
    Activations Density 1.068%

    No Known Activations