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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. 10-RES-JB
    11. 1308
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    INDEX
    Explanations

    mentions of businesses or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with the initial 'B' followed by a name or title

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     BMC
    -0.63
     Pharaoh
    -0.61
     Stall
    -0.60
     pup
    -0.60
     Bots
    -0.59
     Bree
    -0.59
     Stri
    -0.59
     Probe
    -0.59
     Mush
    -0.58
     Bet
    -0.58
    POSITIVE LOGITS
    rief
    1.28
    eware
    1.27
    udget
    1.23
    rought
    1.23
    aghd
    1.22
    izarre
    1.22
    ibli
    1.22
    odies
    1.21
    EGIN
    1.21
    ranch
    1.20
    Activations Density 0.035%

    No Known Activations