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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. 4-RES-JB
    11. 4605
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    Explanations

    mentions of local locations or activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of local activity or local context

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

    No Comments

    Negative Logits
    rer
    -0.83
    ger
    -0.79
    eer
    -0.76
    rers
    -0.75
    GER
    -0.70
    itor
    -0.70
    cair
    -0.67
    icles
    -0.67
    amins
    -0.67
    esty
    -0.66
    POSITIVE LOGITS
     speaking
    0.91
     exting
    0.87
     owned
    0.85
     located
    0.83
     localized
    0.80
     minded
    0.79
     brewed
    0.79
     Speaking
    0.79
     identifiable
    0.76
     sourced
    0.75
    Activations Density 0.008%

    No Known Activations