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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. 21266
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    Explanations

    phrases related to specific names or places, potentially related to news or current events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific entities and terms related to events or contexts involving "Etihad" and "Eid"

    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
     [+
    -0.79
    ONSORED
    -0.78
    TPPStreamerBot
    -0.71
    PET
    -0.69
    values
    -0.67
    OUNT
    -0.66
    anmar
    -0.66
    é¾įå¥ij士
    -0.65
    psons
    -0.64
    士
    -0.64
    POSITIVE LOGITS
    iquette
    1.00
    alia
    0.97
     Et
    0.93
    roit
    0.92
    udes
    0.88
    ihad
    0.88
    abus
    0.87
    obic
    0.86
    ablished
    0.82
     seq
    0.81
    Activations Density 0.005%

    No Known Activations