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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. 9-RES-JB
    11. 5309
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    Explanations

    words related to job performance or quality

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of job performance and its quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tang
    -0.74
    ater
    -0.71
    fty
    -0.70
    NetMessage
    -0.67
    ificant
    -0.63
    went
    -0.62
    raltar
    -0.61
    Cash
    -0.60
    eteria
    -0.60
    Flight
    -0.59
    POSITIVE LOGITS
     portraying
    1.06
     protecting
    1.02
     translating
    1.01
     educating
    1.01
     capturing
    0.99
     integrating
    0.97
     keeping
    0.94
     combating
    0.92
     handling
    0.92
     assembling
    0.91
    Activations Density 0.065%

    No Known Activations