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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. 10-RES-JB
    11. 1393
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    Explanations

    words related to departments in an organization

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various departments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pak
    -0.76
     Predators
    -0.64
    telling
    -0.64
    faced
    -0.63
    istani
    -0.61
     Pose
    -0.59
    olkien
    -0.59
     Ves
    -0.58
    chers
    -0.58
     Rounds
    -0.57
    POSITIVE LOGITS
    al
    1.15
    artments
    1.10
    alities
    1.09
    artment
    1.04
    ality
    0.98
     chair
    0.88
    aries
    0.87
    alse
    0.87
    wide
    0.85
    ally
    0.84
    Activations Density 0.037%

    No Known Activations