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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. 24481
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    Explanations

    words related to predicting future outcomes or consequences

    oai_token-act-pair · gpt-3.5-turbo

    statements about potential consequences or implications of actions

    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
    ĨĴ
    -0.62
     Vance
    -0.59
    ²¾
    -0.58
    ciating
    -0.58
    ãĥ¯ãĥ³
    -0.58
     Hyde
    -0.57
    Latest
    -0.56
     HH
    -0.56
     Hive
    -0.56
     Yesterday
    -0.55
    POSITIVE LOGITS
     becomes
    1.40
     ceases
    1.24
    's
    1.14
    'll
    1.14
     begs
    1.14
     means
    1.13
     qualifies
    1.11
     makes
    1.11
     shouldn
    1.11
     tends
    1.10
    Activations Density 0.143%

    No Known Activations