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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. 8-RES-JB
    11. 791
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    Explanations

    references to camping or campsites

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific camping locations or camps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.83
    ctive
    -0.65
     regress
    -0.65
     nutrit
    -0.64
     antioxid
    -0.63
     magnification
    -0.62
    ulously
    -0.60
     wip
    -0.59
     limb
    -0.57
     pudding
    -0.56
    POSITIVE LOGITS
    ground
    1.35
    fires
    1.35
    grounds
    1.29
    fire
    1.22
    camp
    1.07
    agna
    1.07
    agne
    0.99
    erness
    0.96
    bell
    0.96
    anas
    0.92
    Activations Density 0.033%

    No Known Activations