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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
    11. 329
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    Explanations

    actions or items that are strongly recommended or considered essential

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating recommendations or must-have items

    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
    doi
    -0.85
    yss
    -0.77
    Ĥİ
    -0.76
    ripp
    -0.74
    anus
    -0.73
    docs
    -0.71
    athy
    -0.70
    asus
    -0.69
    onde
    -0.68
    ģ«
    -0.68
    POSITIVE LOGITS
     destination
    0.84
     hitter
    0.82
     ingredient
    0.81
     item
    0.76
     blockbuster
    0.74
     favourites
    0.74
     gadget
    0.74
     trove
    0.72
     contender
    0.72
     favorite
    0.72
    Activations Density 0.079%

    No Known Activations