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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. 7-RES-JB
    11. 3849
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    Explanations

    city names

    oai_token-act-pair · gpt-3.5-turbo

    names of cities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.75
     âĸ
    -0.59
    verning
    -0.59
    ãĥ¼ãĥĨãĤ£
    -0.56
     âĢº
    -0.55
    yip
    -0.55
     leaflets
    -0.55
    istries
    -0.54
    iquette
    -0.54
     biscuits
    -0.53
    POSITIVE LOGITS
     attRot
    0.83
    endif
    0.75
    ;;;;;;;;;;;;
    0.73
    ItemThumbnailImage
    0.67
    }}
    0.65
    ================================================================
    0.65
    )))
    0.65
     }}
    0.64
    assis
    0.64
    asin
    0.63
    Activations Density 0.435%

    No Known Activations