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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. 4-RES-JB
    6. 23050
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    Explanations

    phrases related to being well-informed

    oai_token-act-pair · gpt-3.5-turbo

    the term "informed" in various contexts related to knowledge and awareness

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

    No Comments

    Negative Logits
    ingu
    -0.88
    enf
    -0.69
    imposed
    -0.66
    cessive
    -0.66
    Untitled
    -0.64
    EG
    -0.62
    pen
    -0.61
    cdn
    -0.61
    Nice
    -0.60
    Static
    -0.60
    POSITIVE LOGITS
     informed
    0.87
     inform
    0.86
    ally
    0.84
     Consent
    0.81
    ingly
    0.80
     assurance
    0.79
    omic
    0.79
    soType
    0.76
    fulness
    0.76
     incorpor
    0.73
    Activations Density 0.011%

    No Known Activations