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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. 9-RES-JB
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    Explanations

    references to a specific transit system called "Metro" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    the term "Metro" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \\\\\\\\
    -0.83
     Qiao
    -0.68
    OHN
    -0.68
    uously
    -0.66
     salsa
    -0.65
     ACTIONS
    -0.64
    ouse
    -0.64
    adoes
    -0.64
    icit
    -0.63
     Whedon
    -0.62
    POSITIVE LOGITS
    plex
    1.23
    jet
    1.04
    lin
    1.01
     Manila
    1.01
    active
    0.92
    PC
    0.91
    biology
    0.88
    pton
    0.82
    actively
    0.80
    roads
    0.80
    Activations Density 0.020%

    No Known Activations