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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. 13623
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    Explanations

    phrases related to settings, locations, and arrangements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to "set up" or arrangements and configurations

    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
    steen
    -0.79
    heit
    -0.75
    undreds
    -0.74
    ̶
    -0.71
    ushima
    -0.67
    ascal
    -0.67
    gnu
    -0.66
    liest
    -0.64
    ogh
    -0.64
    mma
    -0.62
    POSITIVE LOGITS
     guiActiveUnfocused
    0.77
     aggregation
    0.67
    ohm
    0.65
    IUM
    0.62
    folios
    0.61
    Setting
    0.61
    idity
    0.61
     Ascend
    0.60
    paren
    0.59
     Pok
    0.58
    Activations Density 0.155%

    No Known Activations