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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. 781
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    Explanations

    words related to political or governmental contexts, such as governmental bodies, legal terms, and political actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to bipartisanship and collaboration in political contexts

    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
     Tens
    -0.85
    UE
    -0.82
     Duchess
    -0.80
    ãĥĪ
    -0.75
    ogged
    -0.73
     Bullets
    -0.73
     Adren
    -0.70
     Silence
    -0.68
     Gleaming
    -0.68
    ãĥ«
    -0.67
    POSITIVE LOGITS
    artisan
    1.05
    ĺħ
    0.92
    olars
    0.84
    ensical
    0.80
    ktop
    0.79
    aign
    0.78
    olitics
    0.77
    rint
    0.76
    ropy
    0.75
    roxy
    0.75
    Activations Density 0.036%

    No Known Activations