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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. 8-RES-JB
    11. 23856
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    Explanations

    names of locations or businesses followed by verbs

    oai_token-act-pair · gpt-3.5-turbo

    prominent nouns or names in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     OCT
    -0.84
    س
    -0.82
     PAR
    -0.79
     IX
    -0.79
    WINDOWS
    -0.77
     constitu
    -0.74
     Instr
    -0.73
     NEC
    -0.72
     SOU
    -0.72
     VI
    -0.71
    POSITIVE LOGITS
    er
    1.57
    ER
    1.41
    ers
    1.33
    erm
    1.31
    uer
    1.22
    eric
    1.16
    ler
    1.14
    eri
    1.14
    erd
    1.14
    ering
    1.13
    Activations Density 0.243%

    No Known Activations