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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. 7-RES-JB
    11. 9459
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    Explanations

    corporations and companies by their names in the text

    oai_token-act-pair · gpt-3.5-turbo

    corporate entities or company names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Emin
    -0.73
     Veil
    -0.69
     Trace
    -0.62
     Tray
    -0.61
    hide
    -0.60
     Ãī
    -0.59
     Yel
    -0.59
    grain
    -0.59
    oslov
    -0.58
     discipline
    -0.57
    POSITIVE LOGITS
    orporated
    1.33
     Ltd
    1.05
    .,
    0.96
    orp
    0.96
    enture
    0.95
     subsidiary
    0.88
    iner
    0.84
    iffe
    0.83
    ombat
    0.81
    ./
    0.81
    Activations Density 0.039%

    No Known Activations