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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. 1-RES-JB
    11. 5271
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    Explanations

    words related to negative impacts or consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to the consequences of various factors or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HEAD
    -0.75
    bor
    -0.68
    Enough
    -0.66
     Sanchez
    -0.65
     Gall
    -0.63
    BUT
    -0.62
    GE
    -0.62
     Canon
    -0.62
     CFL
    -0.61
    oning
    -0.61
    POSITIVE LOGITS
    effects
    1.40
     effects
    1.21
    Effects
    1.02
    iveness
    1.01
     Effects
    0.99
     confir
    0.97
     consequences
    0.92
     effect
    0.90
    ĸļ
    0.87
    Effect
    0.83
    Activations Density 0.019%

    No Known Activations