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    1. Home
    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. 5860
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    Explanations

    terms related to various kinds of effects, particularly those with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    concepts relating to various types of effects, particularly in a negative context

    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
    ilo
    -0.68
    bledon
    -0.67
    Sec
    -0.65
    annie
    -0.62
    IFA
    -0.62
    sted
    -0.62
    furt
    -0.61
    Bay
    -0.60
    illet
    -0.59
    imeter
    -0.59
    POSITIVE LOGITS
     effects
    3.62
    effects
    3.09
     Effects
    2.94
    Effects
    2.57
     effect
    2.47
     impacts
    1.98
     Effect
    1.88
     consequences
    1.86
    Effect
    1.73
    effect
    1.68
    Activations Density 0.021%

    No Known Activations