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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. 10-RES-JB
    11. 13816
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    Explanations

    positive adjectives describing things or actions

    oai_token-act-pair · gpt-3.5-turbo

    positive and favorable descriptions of various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    insula
    -0.62
    ivities
    -0.61
     alcoholism
    -0.58
    odan
    -0.58
    oggle
    -0.57
    guyen
    -0.57
    ership
    -0.56
    etus
    -0.56
    ruction
    -0.55
    elist
    -0.55
    POSITIVE LOGITS
     enough
    0.89
     compared
    0.76
     considering
    0.74
     anyway
    0.74
    ISH
    0.73
     aest
    0.72
    enough
    0.72
    ly
    0.71
    bones
    0.69
    ingly
    0.68
    Activations Density 0.124%

    No Known Activations