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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. 2-RES-JB
    11. 3982
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    Explanations

    terms related to the concept of control or dominance

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ran" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĢIJ
    -0.76
    ĨĴ
    -0.75
    GMT
    -0.68
    £ı
    -0.67
     sparse
    -0.65
    ITNESS
    -0.65
    EMP
    -0.65
     perfect
    -0.64
     overdue
    -0.63
     Holden
    -0.63
    POSITIVE LOGITS
    igans
    1.09
    vier
    1.05
    ran
    1.03
    igan
    0.95
    quez
    0.92
    stal
    0.91
    zan
    0.85
    tenance
    0.85
    fo
    0.85
    rome
    0.81
    Activations Density 0.010%

    No Known Activations