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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. 1532
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    Explanations

    mentions of specific groups or organizations

    oai_token-act-pair · gpt-3.5-turbo

    the end of the document or sections within it

    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
    ADE
    -0.75
    IDER
    -0.67
    lect
    -0.64
    ULT
    -0.63
    onne
    -0.62
    STD
    -0.61
    emetery
    -0.61
    Animal
    -0.59
     Vaugh
    -0.59
    avorite
    -0.59
    POSITIVE LOGITS
    chery
    0.86
    ullah
    0.82
    bh
    0.79
    chet
    0.79
    rina
    0.75
    nikov
    0.74
    ifa
    0.74
    rance
    0.72
    amiya
    0.71
    ronics
    0.71
    Activations Density 0.025%

    No Known Activations