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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 9804
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    INDEX
    Explanations

    phrases related to riding, either physically or metaphorically

    oai_token-act-pair · gpt-3.5-turbo

    actions related to riding or movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essment
    -0.76
    razil
    -0.72
    pta
    -0.72
    ayer
    -0.71
    ening
    -0.65
    ayers
    -0.65
    aneous
    -0.65
    eners
    -0.64
    aments
    -0.63
    ensing
    -0.63
    POSITIVE LOGITS
     motorcycles
    1.16
     bicycles
    1.05
     bikes
    1.01
     horses
    0.99
     shotgun
    0.98
    cycles
    0.85
     alongside
    0.84
    bike
    0.84
     horse
    0.83
     wheels
    0.83
    Activations Density 0.097%

    No Known Activations