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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. 6299
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    INDEX
    Explanations

    descriptions of urban locations and specific geographical features

    oai_token-act-pair · gpt-3.5-turbo

    geographical locations and urban contexts

    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
    Surv
    -0.82
    ¶ħ
    -0.78
    atchewan
    -0.78
    ãĤ¦ãĤ¹
    -0.74
    yip
    -0.73
     reptiles
    -0.72
    ername
    -0.71
    etheless
    -0.71
     Boko
    -0.71
     recoil
    -0.71
    POSITIVE LOGITS
     Chinatown
    1.37
     Downtown
    1.25
     Broadway
    1.21
     streetcar
    1.21
     sidewalks
    1.16
     Market
    1.16
     sidewalk
    1.13
     downtown
    1.12
     subway
    1.10
     Avenue
    1.06
    Activations Density 0.402%

    No Known Activations