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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. 3-RES-JB
    11. 20877
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    Explanations

    interviews with various individuals

    oai_token-act-pair · gpt-3.5-turbo

    the term "interview."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Goods
    -0.76
    ple
    -0.74
    EStreamFrame
    -0.70
    warm
    -0.70
    cil
    -0.67
    hover
    -0.67
    axy
    -0.67
    math
    -0.66
    burgh
    -0.66
    sels
    -0.66
    POSITIVE LOGITS
     interview
    1.02
     interviews
    0.92
    ees
    0.87
    Interview
    0.84
     Interview
    0.80
     interviewer
    0.72
     aired
    0.72
    ee
    0.70
     transcripts
    0.69
     booth
    0.68
    Activations Density 0.022%

    No Known Activations