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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. 4-RES-JB
    11. 6571
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    Explanations

    mentions of governmental policies in a critical or impactful context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of policies, particularly in a political context

    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
    ITNESS
    -0.82
    issan
    -0.81
     Sud
    -0.69
    Vel
    -0.67
    avez
    -0.67
    amina
    -0.65
    ISH
    -0.65
    athan
    -0.65
     Brotherhood
    -0.65
    ENE
    -0.64
    POSITIVE LOGITS
     policies
    1.01
     enacted
    0.82
     governing
    0.81
    aroo
    0.80
     prescriptions
    0.77
     policy
    0.76
    olicy
    0.76
     Policies
    0.76
    hops
    0.75
     initiatives
    0.74
    Activations Density 0.013%

    No Known Activations