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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. 3973
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    Explanations

    references to military camps or locations

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

    references to military camps

    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
     tuning
    -0.63
     skating
    -0.61
     play
    -0.60
     emot
    -0.60
    SHIP
    -0.60
     enough
    -0.59
     language
    -0.58
     meshes
    -0.58
     groom
    -0.58
     traff
    -0.57
    POSITIVE LOGITS
    bell
    1.13
    agna
    1.13
    agn
    1.01
    aign
    0.98
    inas
    0.94
    belt
    0.92
    agne
    0.92
    sites
    0.92
     Pend
    0.92
    ione
    0.89
    Activations Density 0.023%

    No Known Activations