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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. 9-RES-JB
    11. 23816
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    Explanations

    proper nouns and names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of names, specifically those related to the character Jack and others in a specific narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¢ãĥ«
    -0.68
    enhagen
    -0.63
    rius
    -0.62
    nels
    -0.61
    archment
    -0.61
    heastern
    -0.61
    ACTED
    -0.60
    uga
    -0.59
    igmat
    -0.59
    È
    -0.58
    POSITIVE LOGITS
    ĵĺ
    0.65
    ãĥĺ
    0.64
    icho
    0.63
     Slave
    0.62
    beh
    0.61
     Sparks
    0.60
     tails
    0.59
     Bagg
    0.56
     Rocks
    0.55
     Sabha
    0.55
    Activations Density 0.171%

    No Known Activations