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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. 10973
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    Explanations

    mentions of people and locations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to political or governmental issues

    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
     Petra
    -0.60
    ntil
    -0.59
     Mub
    -0.59
    iffe
    -0.57
    reau
    -0.55
     Roz
    -0.55
    rika
    -0.55
     Beg
    -0.55
     RHP
    -0.54
    PROV
    -0.53
    POSITIVE LOGITS
    ?),
    0.71
    ?ãĢį
    0.66
     respectively
    0.65
    ))
    0.65
     ())
    0.64
    )?
    0.61
    )\
    0.59
    ocalypse
    0.57
    Downloadha
    0.56
    ?,
    0.56
    Activations Density 1.433%

    No Known Activations