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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. 508
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    Explanations

    phrases related to different attributes or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    words that convey sensory experiences, particularly related to taste, smell, and touch

    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
     Annotations
    -0.72
     deduction
    -0.71
     deductions
    -0.69
     spears
    -0.68
     spear
    -0.67
     blockers
    -0.67
     handc
    -0.66
     Dragons
    -0.66
     regards
    -0.65
     waivers
    -0.65
    POSITIVE LOGITS
    inky
    1.33
    umpy
    1.30
    acky
    1.27
    aky
    1.27
    oky
    1.27
    asty
    1.22
    zy
    1.21
    assy
    1.21
    inous
    1.20
    icky
    1.19
    Activations Density 0.174%

    No Known Activations