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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. 8125
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    Explanations

    mentions of the word "zo" at the end of words

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the word "zo"

    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
     CST
    -0.65
     warmth
    -0.64
     adherence
    -0.64
     exercise
    -0.63
     Iraq
    -0.63
     employment
    -0.62
     Const
    -0.61
     years
    -0.61
     PAT
    -0.59
     bars
    -0.58
    POSITIVE LOGITS
    zo
    4.67
    zos
    2.51
    zi
    1.79
    za
    1.62
    zie
    1.40
    zu
    1.40
    ze
    1.37
    zl
    1.36
    ZI
    1.35
    z
    1.33
    Activations Density 0.012%

    No Known Activations