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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 6264
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    Explanations

    specific acronyms followed by numbers

    oai_token-act-pair · gpt-3.5-turbo

    instances of the suffix "ul" in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     commons
    -0.64
     compass
    -0.63
     living
    -0.61
     daylight
    -0.60
     rebound
    -0.59
     DRAGON
    -0.59
     catch
    -0.59
     adop
    -0.59
     needle
    -0.58
     butterfly
    -0.58
    POSITIVE LOGITS
    ul
    4.21
    UL
    2.31
    uli
    2.22
    ulas
    2.12
    ula
    2.09
    ulo
    1.96
    uls
    1.88
    ulate
    1.83
    ule
    1.82
    ulus
    1.81
    Activations Density 0.012%

    No Known Activations