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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. 14134
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of people

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    OPLE
    -0.74
    eeper
    -0.60
     feathers
    -0.59
     Cherokee
    -0.56
     row
    -0.54
    DAQ
    -0.53
     Scion
    -0.53
     checkout
    -0.52
     whine
    -0.51
    efully
    -0.51
    POSITIVE LOGITS
    cia
    0.83
    heim
    0.80
    wald
    0.71
    dal
    0.70
    mus
    0.70
    stadt
    0.69
    ko
    0.68
    aeus
    0.68
    ia
    0.67
    ius
    0.67
    Activations Density 0.190%

    No Known Activations