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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. 14377
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    Explanations

    words related to specific names or entities, particularly with an 'E' prefix

    oai_token-act-pair · gpt-3.5-turbo

    common prefixes or segments that appear frequently in proper nouns or names

    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
    REL
    -0.72
    xus
    -0.70
    caps
    -0.65
    anova
    -0.62
    channelAvailability
    -0.60
    Ïī
    -0.60
    DAQ
    -0.59
    \/\/
    -0.59
     XL
    -0.59
     kittens
    -0.58
    POSITIVE LOGITS
    ilon
    0.86
    anasia
    0.78
    vironment
    0.77
    ascript
    0.75
    Reloaded
    0.75
    tainment
    0.74
    hower
    0.74
    getic
    0.73
     Predator
    0.71
     coli
    0.70
    Activations Density 0.077%

    No Known Activations