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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. 5041
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    Explanations

    phrases related to length of time spent in a specific job or location

    oai_token-act-pair · gpt-3.5-turbo

    references to specific roles, locations, and long-term associations of individuals

    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
    cms
    -0.67
    orio
    -0.64
    iru
    -0.63
    needed
    -0.58
    icient
    -0.57
    asive
    -0.57
    ))))
    -0.56
    mble
    -0.56
    thumbnails
    -0.56
     arrives
    -0.55
    POSITIVE LOGITS
     extensively
    1.23
     twice
    1.02
     awhile
    1.01
     intermitt
    0.98
     spor
    0.96
     since
    0.95
     firsthand
    0.94
     unsuccessfully
    0.93
     faithfully
    0.90
     briefly
    0.90
    Activations Density 0.645%

    No Known Activations