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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. 20409
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    Explanations

    names or abbreviations starting with the letter 'M'

    oai_token-act-pair · gpt-3.5-turbo

    references to the letter 'M' or related names and terms beginning with 'M'

    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
    romeda
    -0.93
     Extras
    -0.79
    agascar
    -0.77
    etheless
    -0.73
     Conquest
    -0.72
     Reloaded
    -0.72
    xon
    -0.71
    atown
    -0.71
    ablishment
    -0.69
    vertising
    -0.69
    POSITIVE LOGITS
    occ
    1.04
    aim
    1.02
    oto
    0.91
    aiman
    0.91
    apper
    0.90
    SW
    0.88
    apping
    0.87
    asks
    0.86
    SB
    0.86
    izz
    0.86
    Activations Density 0.096%

    No Known Activations