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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
    11. 23722
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    INDEX
    Explanations

    phrases related to social interactions and community involvement

    oai_token-act-pair · gpt-3.5-turbo

    instances of collective experiences or group actions

    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
     Ends
    -0.69
    izontal
    -0.64
     Illust
    -0.63
    olean
    -0.59
    database
    -0.59
     occurs
    -0.59
     inflic
    -0.58
    APH
    -0.58
    izont
    -0.57
     Bolt
    -0.56
    POSITIVE LOGITS
     unanimously
    1.13
     clam
    1.08
     collectively
    1.05
     balk
    0.95
     reacted
    0.95
     unanimous
    0.93
     cooperate
    0.92
     understandably
    0.92
     coales
    0.91
     converge
    0.90
    Activations Density 0.548%

    No Known Activations