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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. 1-RES-JB
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    Explanations

    mentions of TV shows

    oai_token-act-pair · gpt-3.5-turbo

    mentions of television shows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.94
     inh
    -0.77
     srf
    -0.74
    ntil
    -0.72
    quartered
    -0.72
    avascript
    -0.71
    undai
    -0.71
     retaining
    -0.70
    initions
    -0.70
     captcha
    -0.68
    POSITIVE LOGITS
    runners
    1.21
    biz
    1.21
    runner
    1.17
    show
    1.07
    manship
    1.00
    shows
    0.98
    hide
    0.92
     shows
    0.84
    Show
    0.83
     show
    0.82
    Activations Density 0.047%

    No Known Activations