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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
    11. 9377
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    INDEX
    Explanations

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or officials

    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
    ĪĴ
    -0.75
    sterdam
    -0.70
    sets
    -0.70
    changed
    -0.68
    ozyg
    -0.67
    ĺħ
    -0.67
    izens
    -0.66
     TOTAL
    -0.66
     cleaner
    -0.65
    requisites
    -0.64
    POSITIVE LOGITS
     Lans
    1.16
     Saunders
    1.12
    aunders
    0.84
    dale
    0.79
    ABLE
    0.74
    itational
    0.72
    awa
    0.72
     Finch
    0.71
     Hodg
    0.71
    ricks
    0.71
    Activations Density 0.021%

    No Known Activations