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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. 7215
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    Explanations

    names of places or geographic locations containing the word "cap"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the substring "ap"

    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
     phyl
    -0.66
     Monstrous
    -0.65
    tty
    -0.61
     silence
    -0.60
     gritty
    -0.59
     explan
    -0.58
     interf
    -0.58
    IGHTS
    -0.58
     Slim
    -0.57
     cath
    -0.57
    POSITIVE LOGITS
    olitan
    1.45
    oleon
    1.35
    ropri
    1.31
    ocalypse
    1.25
    ocalyptic
    1.18
    rison
    1.12
    acity
    1.06
    osite
    1.06
    edia
    1.05
    olitics
    1.05
    Activations Density 0.038%

    No Known Activations