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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. 7-RES-JB
    11. 5719
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    Explanations

    specific phrases related to eliminating obstacles or proceeding forward

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to obstacles or things that need to be removed or dealt with

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uncle
    -0.86
    ancial
    -0.77
    aved
    -0.77
    çĶ°
    -0.73
    olic
    -0.72
    imaru
    -0.72
    ãĥį
    -0.70
    olicy
    -0.69
    ãĥĥãĥĪ
    -0.68
    ICAN
    -0.67
    POSITIVE LOGITS
     equation
    1.04
     drawer
    0.91
     gate
    0.89
     loop
    0.84
     closet
    0.83
     bounds
    0.82
     door
    0.80
     realm
    0.77
     confines
    0.77
     jaws
    0.76
    Activations Density 0.086%

    No Known Activations