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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. 12-RES-JB
    11. 3200
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    Explanations

    terminology related to surveillance methods

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to surveillance and wiretapping

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     variations
    -0.67
     CIS
    -0.66
     feder
    -0.66
     commons
    -0.65
     variation
    -0.63
    ãĤ¤ãĥĪ
    -0.63
    EngineDebug
    -0.62
    UE
    -0.62
     precedence
    -0.62
     mileage
    -0.60
    POSITIVE LOGITS
    dropping
    1.32
    apping
    1.25
    apped
    1.23
    dro
    1.20
    poon
    1.20
    assed
    1.19
    onds
    1.18
    assing
    1.14
    drop
    1.09
    riter
    1.07
    Activations Density 0.094%

    No Known Activations