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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. 1-RES-JB
    11. 13334
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    Explanations

    years

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 1995

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tu
    -0.74
    wards
    -0.68
    rop
    -0.68
    wered
    -0.67
    hed
    -0.64
    LAN
    -0.64
    plane
    -0.63
    hang
    -0.62
     limb
    -0.61
    bor
    -0.61
    POSITIVE LOGITS
    ĸļ
    0.99
    -'
    0.80
     1995
    0.78
     Countdown
    0.76
     1993
    0.74
    å¹
    0.74
     Leban
    0.74
     Rwanda
    0.73
    ãĥ¼ãĥ«
    0.73
     Unleashed
    0.73
    Activations Density 0.011%

    No Known Activations