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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. 3-RES-JB
    11. 4404
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    Explanations

    information prompts or cues to subscribe or get news updates

    oai_token-act-pair · gpt-3.5-turbo

    commands or prompts to gather information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     defe
    -0.60
     prophes
    -0.58
     Carpenter
    -0.58
     sealing
    -0.57
    ridge
    -0.56
    NESS
    -0.56
     evoke
    -0.56
    antle
    -0.55
    ISC
    -0.55
    oin
    -0.55
    POSITIVE LOGITS
    TING
    1.05
     rid
    1.03
    away
    0.91
    aways
    0.89
    terson
    0.76
     Started
    0.76
    ãĥ³ãĤ¸
    0.74
    gotten
    0.73
     acquainted
    0.70
     Tickets
    0.70
    Activations Density 0.052%

    No Known Activations