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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. 2-RES-JB
    6. 17164
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    Explanations

    information related to responsible and responsive behavior in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of responsibility and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fare
    -0.82
     Manson
    -0.76
    WAYS
    -0.75
    ORGE
    -0.74
     Bowie
    -0.71
     Koreans
    -0.70
     Dahl
    -0.70
    çͰ
    -0.68
    UFF
    -0.68
    WAY
    -0.68
    POSITIVE LOGITS
    ibilities
    1.09
    ively
    1.07
    alez
    1.04
     Respons
    1.01
    ibly
    1.01
    ensical
    0.98
    ible
    0.94
    TPPStreamerBot
    0.93
    idy
    0.92
    eworks
    0.90
    Activations Density 0.009%

    No Known Activations