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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. 0-RES-JB
    11. 1380
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    Explanations

    references to specific entities or terms abbreviated as "SM"

    oai_token-act-pair · gpt-3.5-turbo

    the acronym "SM" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    deck
    -0.84
    uthor
    -0.77
    ioned
    -0.75
    Pierre
    -0.69
    ervatives
    -0.69
     Tayyip
    -0.67
     aboard
    -0.64
    iste
    -0.64
    unes
    -0.64
    ribune
    -0.63
    POSITIVE LOGITS
     SM
    3.59
     Sm
    1.37
     EM
    1.36
     SP
    1.36
    SM
    1.34
     SN
    1.31
     MM
    1.29
     SEM
    1.28
     SL
    1.24
     MU
    1.19
    Activations Density 0.007%

    No Known Activations