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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. 6-RES-JB
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    Explanations

    the word "from"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "from" indicating source or origin

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disson
    -0.69
    tions
    -0.67
    rises
    -0.66
     VIDEOS
    -0.66
    ãĤ´ãĥ³
    -0.64
    terness
    -0.62
     assumes
    -0.62
     accompanies
    -0.61
    nir
    -0.60
     reacts
    -0.60
    POSITIVE LOGITS
    liest
    0.91
    ensual
    0.79
    ivated
    0.71
    avering
    0.70
    ivable
    0.69
    erest
    0.68
    lain
    0.67
    ivating
    0.66
    oult
    0.64
    inently
    0.63
    Activations Density 0.119%

    No Known Activations