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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. 6-RES-JB
    11. 4389
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    INDEX
    Explanations

    phrases related to the ordinal position or ranking of items, like "third-round pick" or "third-party"

    oai_token-act-pair · gpt-3.5-turbo

    references to third-party entities or candidates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.72
     SOL
    -0.69
     Paradox
    -0.67
     Richards
    -0.67
     juggling
    -0.67
    Ń·
    -0.66
     Manson
    -0.65
    kson
    -0.65
     Syl
    -0.64
     lubric
    -0.63
    POSITIVE LOGITS
    degree
    1.24
    party
    1.13
    century
    1.10
    generation
    1.09
    eyed
    1.07
    tier
    1.05
    dimensional
    1.03
    ranked
    1.03
    favorite
    1.02
    level
    1.01
    Activations Density 0.040%

    No Known Activations