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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. 1-RES-JB
    11. 12969
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    Explanations

    words related to names or entities, particularly those with unique spellings or characters

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names or titles, particularly variations of "obi" and "Xia"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shall
    -0.80
     PID
    -0.70
    âķIJâķIJ
    -0.66
    ILLE
    -0.66
    ELL
    -0.65
    spin
    -0.64
    lling
    -0.63
     DMV
    -0.62
    Mary
    -0.61
    luck
    -0.60
    POSITIVE LOGITS
    obi
    1.68
    ographies
    1.09
    ographical
    1.08
    ographer
    1.06
    OGR
    1.04
    otech
    1.04
    ography
    1.04
    oses
    1.04
    Wan
    1.03
    ograp
    1.01
    Activations Density 0.004%

    No Known Activations