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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. 4815
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    Explanations

    phrases related to sports and specific sporting events or players

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" along with context related to numbers, particularly years

    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
    MSN
    -0.68
    cha
    -0.68
    oldown
    -0.68
    Ur
    -0.67
    NOW
    -0.65
    iblings
    -0.64
    Animation
    -0.64
    ect
    -0.64
    oeuv
    -0.64
    ector
    -0.63
    POSITIVE LOGITS
    juries
    1.28
     Week
    1.06
     lieu
    1.05
    jury
    1.01
     terms
    0.98
    effic
    0.94
     regards
    0.94
     favor
    0.93
     preseason
    0.92
     Weeks
    0.92
    Activations Density 0.141%

    No Known Activations