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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. 10-RES-JB
    11. 23432
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    Explanations

    words related to experiences or experiments

    oai_token-act-pair · gpt-3.5-turbo

    words related to experience and experimentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    flat
    -0.68
    tower
    -0.62
     Cth
    -0.62
     Akron
    -0.61
     clad
    -0.60
     KR
    -0.60
     lodge
    -0.59
     flats
    -0.59
     chained
    -0.58
     wedge
    -0.58
    POSITIVE LOGITS
    ienced
    2.01
    iments
    1.78
    imental
    1.75
    iment
    1.73
    iences
    1.64
    ience
    1.58
    ient
    1.46
    ien
    1.27
    iance
    1.20
    ts
    1.11
    Activations Density 0.034%

    No Known Activations