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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. 4-RES-JB
    11. 17136
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    Explanations

    references to different layers, both literal and metaphorical

    oai_token-act-pair · gpt-3.5-turbo

    references to different layers in systems or structures

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

    No Comments

    Negative Logits
    ãĥīãĥ©
    -0.80
     Predators
    -0.77
     STAR
    -0.73
    date
    -0.71
    etheus
    -0.70
    nia
    -0.70
    WAR
    -0.69
    speaking
    -0.67
    lishing
    -0.67
     FRE
    -0.66
    POSITIVE LOGITS
     layers
    1.44
     layer
    1.30
    layer
    1.00
     Layer
    0.98
    Layer
    0.96
     thickness
    0.92
     coats
    0.87
    coat
    0.82
     opacity
    0.81
     layered
    0.79
    Activations Density 0.018%

    No Known Activations