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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
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    Explanations

    references to the word "Canal"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific types of canals

    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
    ccording
    -0.73
    HCR
    -0.73
    eff
    -0.70
    ---------
    -0.68
     Marketable
    -0.67
    ARS
    -0.66
    doms
    -0.65
    laws
    -0.64
    redients
    -0.64
    OWN
    -0.63
    POSITIVE LOGITS
     Canal
    1.33
     canal
    1.23
     reefs
    0.86
    ieri
    0.85
    akra
    0.84
    obar
    0.79
     Dock
    0.78
    agall
    0.74
     Tunnel
    0.74
    wright
    0.72
    Activations Density 0.008%

    No Known Activations