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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. 0-RES-JB
    11. 2666
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    Explanations

    phrases related to organizations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to organizations and roles within specific operational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ollow
    -0.86
     Neck
    -0.75
     deform
    -0.74
     Hollow
    -0.72
    ghai
    -0.69
    icken
    -0.69
     Hun
    -0.68
    castle
    -0.67
     Brush
    -0.67
    inem
    -0.66
    POSITIVE LOGITS
    OPS
    2.66
     OPS
    2.11
     ops
    1.42
    pora
    1.38
     Operations
    1.27
    Ops
    1.23
     Alexa
    1.21
     boarded
    1.15
     Ops
    1.13
     Payton
    1.13
    Activations Density 0.052%

    No Known Activations