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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. 10-RES-JB
    11. 964
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    INDEX
    Explanations

    mentions of the term "Metro" followed by numerical ratings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various metro systems or networks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \\\\\\\\
    -0.79
     salsa
    -0.71
     ACTIONS
    -0.68
     Qiao
    -0.67
     reef
    -0.65
     sacrific
    -0.64
     Rica
    -0.64
     Whedon
    -0.63
    ifice
    -0.63
    OHN
    -0.63
    POSITIVE LOGITS
    plex
    1.21
    lin
    1.11
    jet
    1.08
    PC
    1.03
     Manila
    1.00
    active
    1.00
    roads
    0.86
    bus
    0.86
    actively
    0.85
    Stars
    0.85
    Activations Density 0.016%

    No Known Activations