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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. 15866
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    INDEX
    Explanations

    names or initials with the pattern "J followed by a number"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a specific name or entity

    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
    holders
    -0.81
    dayName
    -0.72
    holder
    -0.71
    TPPStreamerBot
    -0.68
     Soviets
    -0.65
    ifiers
    -0.65
     thirds
    -0.62
     priv
    -0.62
     peanuts
    -0.62
    weights
    -0.61
    POSITIVE LOGITS
    upiter
    1.27
    ournals
    1.25
    ealous
    1.24
    unction
    1.11
    acket
    1.10
    igsaw
    1.08
    asper
    1.03
    itsu
    1.01
    ihad
    1.00
    ansen
    0.98
    Activations Density 0.029%

    No Known Activations