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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. 11-RES-JB
    11. 577
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    INDEX
    Explanations

    phrases indicating expectations or predictions regarding future events

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to expectations and possibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    76561
    -0.78
    MpServer
    -0.73
    soType
    -0.70
     disadvant
    -0.68
    INESS
    -0.67
    forces
    -0.66
     Advertisement
    -0.64
     Printed
    -0.63
    UID
    -0.63
     Slave
    -0.63
    POSITIVE LOGITS
     undergo
    1.16
     retire
    1.10
     audition
    1.08
     play
    1.06
     participate
    1.05
     waive
    1.03
     resume
    1.01
     join
    0.97
     attend
    0.97
     rehab
    0.96
    Activations Density 0.194%

    No Known Activations