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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. 16808
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    Explanations

    the word "effect" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the impact or consequences of various actions or phenomena

    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
    Plot
    -0.67
    corn
    -0.64
     hips
    -0.63
     Pitch
    -0.63
    artz
    -0.62
     Sanchez
    -0.62
    hak
    -0.61
    don
    -0.60
    antz
    -0.60
    stra
    -0.59
    POSITIVE LOGITS
    iveness
    1.15
    uality
    1.00
     effect
    0.98
    uated
    0.98
    ually
    0.95
    effects
    0.95
     confir
    0.93
    uating
    0.92
    ively
    0.91
    bringer
    0.88
    Activations Density 0.019%

    No Known Activations