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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. 11-RES-JB
    11. 3766
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    INDEX
    Explanations

    adjectives describing the quality of a job or task performance

    oai_token-act-pair · gpt-3.5-turbo

    evaluations of performance or quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edia
    -0.74
    CHAT
    -0.71
    urated
    -0.70
    çĦ
    -0.68
    ATA
    -0.67
    ãĤ¦ãĤ¹
    -0.66
    oleon
    -0.66
    ITED
    -0.66
    ogens
    -0.65
    ivari
    -0.65
    POSITIVE LOGITS
     job
    1.74
    job
    1.09
     Job
    1.04
     jobs
    0.98
     deed
    0.96
     impression
    0.93
     thing
    0.93
     imitation
    0.90
     work
    0.90
    Job
    0.86
    Activations Density 0.060%

    No Known Activations