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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. 13127
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    INDEX
    Explanations

    phrases describing goals, objectives, or aims

    oai_token-act-pair · gpt-3.5-turbo

    references to goals and objectives

    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
    uffed
    -0.60
    gettable
    -0.59
    aples
    -0.57
    ADRA
    -0.57
    ailability
    -0.57
    rir
    -0.56
    access
    -0.55
    ARD
    -0.54
    RIP
    -0.53
    culus
    -0.52
    POSITIVE LOGITS
     is
    1.07
     was
    0.96
     consists
    0.83
     revolves
    0.83
     boils
    0.79
     isn
    0.77
     relates
    0.77
     remains
    0.76
     wasn
    0.73
     here
    0.72
    Activations Density 0.168%

    No Known Activations