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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. 17397
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    Explanations

    phrases related to size or scale

    oai_token-act-pair · gpt-3.5-turbo

    references to concepts of size or scale, particularly when discussing broader contexts

    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
    orneys
    -0.80
    visor
    -0.76
    çļ
    -0.76
    sid
    -0.74
    rov
    -0.72
    hire
    -0.70
    reditary
    -0.70
    YR
    -0.68
    odor
    -0.67
    én
    -0.67
    POSITIVE LOGITS
     than
    1.37
    than
    1.12
     Than
    1.08
     picture
    0.99
     scale
    0.93
    picture
    0.88
     diameter
    0.86
     footprint
    0.80
     scope
    0.80
     sized
    0.78
    Activations Density 0.063%

    No Known Activations