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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. 1-RES-JB
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    Explanations

    terms related to governmental surveillance and security systems

    oai_token-act-pair · gpt-3.5-turbo

    references to surveillance-related structures or systems

    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
    lake
    -0.82
    card
    -0.68
    adows
    -0.67
    Less
    -0.63
    orth
    -0.60
     Grave
    -0.60
    igi
    -0.59
    sign
    -0.59
    green
    -0.59
    edit
    -0.58
    POSITIVE LOGITS
     apparatus
    1.48
    ichick
    1.00
    MpServer
    0.81
     Seym
    0.77
    hered
    0.77
     appar
    0.77
    sembly
    0.77
     eleph
    0.76
     exha
    0.76
    abulary
    0.76
    Activations Density 0.013%

    No Known Activations