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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. 7073
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    Explanations

    phrases related to conflict or tension

    oai_token-act-pair · gpt-3.5-turbo

    metaphors and expressions related to complexity or difficulty

    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
     absentee
    -0.75
     Priority
    -0.71
     Brands
    -0.71
     Citizen
    -0.70
     Behavioral
    -0.69
    ACY
    -0.69
     Events
    -0.69
    Events
    -0.68
    Bey
    -0.67
    Customer
    -0.66
    POSITIVE LOGITS
     protr
    1.25
     ropes
    1.19
     bends
    1.14
     rod
    1.13
     rods
    1.13
     curved
    1.12
     pend
    1.09
     scissors
    1.06
     bending
    1.06
     rope
    1.06
    Activations Density 0.732%

    No Known Activations