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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. 2-RES-JB
    11. 23085
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    Explanations

    the letter 't' with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    the negation of actions or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.87
     behavi
    -0.83
     mosqu
    -0.81
    EStream
    -0.77
     Skydragon
    -0.73
     hemor
    -0.69
     undermin
    -0.68
     resil
    -0.68
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.67
     cannabin
    -0.66
    POSITIVE LOGITS
    ruck
    1.11
    otally
    1.09
    aylor
    1.08
    rix
    1.05
    aken
    1.05
    ouched
    1.03
    ronic
    1.03
    olkien
    1.03
    asks
    1.02
    ronics
    1.01
    Activations Density 0.154%

    No Known Activations