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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. 3-RES-JB
    11. 22724
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    Explanations

    references to the Raspberry Pi computer

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Raspberry Pi

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tyard
    -0.80
    ãĥĨ
    -0.75
    ãĤ¼ãĤ¦ãĤ¹
    -0.74
     deed
    -0.73
    lined
    -0.71
     EntityItem
    -0.68
    ãĥĨãĤ£
    -0.66
    lines
    -0.66
    hart
    -0.66
    scape
    -0.65
    POSITIVE LOGITS
    ñ
    1.19
     Pi
    1.16
    Pi
    1.14
     Pis
    1.06
    ña
    1.03
    achu
    0.96
    oche
    0.93
     pi
    0.93
    PI
    0.85
    Å¡
    0.85
    Activations Density 0.006%

    No Known Activations