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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. 8-RES-JB
    11. 10414
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    INDEX
    Explanations

    mentions of large scale technology projects or infrastructure such as megaprojects

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the prefix "meg", indicating a focus on large quantities or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sense
    -0.70
    UCT
    -0.66
    ãģį
    -0.66
     resolve
    -0.64
    LECT
    -0.64
     Grounds
    -0.63
    âķIJâķIJ
    -0.60
     Continued
    -0.60
     grounds
    -0.59
     humour
    -0.59
    POSITIVE LOGITS
    abyte
    1.46
    abytes
    1.46
    awatts
    1.20
    apixel
    1.16
    atron
    1.13
    acity
    1.05
    aton
    1.03
    apolis
    1.02
    atis
    0.99
    enary
    0.98
    Activations Density 0.027%

    No Known Activations