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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 4093
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    Explanations

    instances of security-related actions or measures

    oai_token-act-pair · gpt-3.5-turbo

    verbs that indicate intention or purpose

    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
    Li
    -0.72
     brim
    -0.66
    trak
    -0.66
    Plug
    -0.65
     Weld
    -0.62
    med
    -0.61
    gins
    -0.61
     clipboard
    -0.60
     Vest
    -0.60
     lineback
    -0.59
    POSITIVE LOGITS
    stakes
    0.67
    arent
    0.65
     nurture
    0.64
    ANCE
    0.64
    earances
    0.64
    iso
    0.63
    isine
    0.62
    ASY
    0.61
    RFC
    0.61
     ©
    0.61
    Activations Density 0.000%

    No Known Activations