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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. 3-RES-JB
    11. 3747
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    Explanations

    references to the physical part of the back of objects

    oai_token-act-pair · gpt-3.5-turbo

    references to the rear of objects or devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ensable
    -0.83
    âĸĪâĸĪ
    -0.83
    ittee
    -0.78
     Flavoring
    -0.77
    argon
    -0.74
    glers
    -0.73
    helps
    -0.73
    esson
    -0.72
    aepernick
    -0.71
     Mandela
    -0.70
    POSITIVE LOGITS
    ward
    1.18
     axle
    0.99
    bone
    0.94
     tyre
    0.87
    wash
    0.85
     derail
    0.85
    most
    0.84
    wards
    0.82
     lobe
    0.80
     rotor
    0.80
    Activations Density 0.011%

    No Known Activations