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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. 0-RES-JB
    11. 19921
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    Explanations

    phrases or words prefixed with "pre-"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the prefix "pre"

    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
     depreciation
    -0.67
     tears
    -0.65
     Shard
    -0.63
     laugh
    -0.62
     sailing
    -0.61
     Aging
    -0.60
     outside
    -0.60
     abroad
    -0.60
     morph
    -0.59
     Bark
    -0.59
    POSITIVE LOGITS
    pre
    3.93
    Pre
    2.02
    PRE
    2.00
     Pre
    1.42
     PRE
    1.42
    prep
    1.36
    pres
    1.34
    pri
    1.31
    pret
    1.29
    Pref
    1.28
    Activations Density 0.011%

    No Known Activations