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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. 3897
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    Explanations

    mentions of places or people with the word 'me' in them

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "me"

    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
    olor
    -0.70
    kefeller
    -0.68
    rama
    -0.68
    aughters
    -0.65
    keyes
    -0.65
    iosity
    -0.65
    roads
    -0.65
    ulation
    -0.63
    hips
    -0.63
    ernels
    -0.62
    POSITIVE LOGITS
    asure
    1.20
    anwhile
    1.19
    zzo
    1.11
    lda
    1.03
    leon
    1.01
    eting
    1.00
    ister
    0.99
    isters
    0.97
    ppo
    0.91
    adows
    0.87
    Activations Density 0.016%

    No Known Activations